* installing to library ‘/home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages’ * installing *source* package ‘gpboost’ ... ** package ‘gpboost’ successfully unpacked and MD5 sums checked ** using staged installation checking location of R... /home/hornik/tmp/R.check/r-devel-gcc/Work/build checking whether MM_PREFETCH works... yes checking whether MM_MALLOC works... yes configure: creating ./config.status config.status: creating src/Makevars ** libs using C compiler: ‘gcc-13 (Debian 13.2.0-23) 13.2.0’ using C++ compiler: ‘g++-13 (Debian 13.2.0-23) 13.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpZ0Tnsa/R.INSTALL1603e25b723eb/gpboost/src' g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c boosting/boosting.cpp -o boosting/boosting.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt.h:10, from boosting/dart.hpp:16, from boosting/boosting.cpp:7: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/likelihoods.h:4389:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1560:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1707:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1757:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1763:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1788:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1855:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1864:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1879:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1880:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1914:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1927:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1927:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:2082:48: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/likelihoods.h:2082:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:2083:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:2106:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2106:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/likelihoods.h:2106:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2118:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2158:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2161:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2297:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/likelihoods.h:2412:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2441:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2456:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2687:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2692:103: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2693:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2707:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2719:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2767:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2780:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2780:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2789:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2938:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2950:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2951:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2956:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2958:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2969:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2970:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2975:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/GPBoost/likelihoods.h:3000:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/GPBoost/likelihoods.h:3001:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3147:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/likelihoods.h:3147:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3149:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/likelihoods.h:3156:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ ./include/GPBoost/likelihoods.h:3295:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3295:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3324:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3398:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:3500:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3525:162: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:3532:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3532:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3917:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:3917:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3917:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3941:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:3967:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:3967:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:4013:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:4016:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4023:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4038:58: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4038:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:4048:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ ./include/GPBoost/likelihoods.h:4048:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/likelihoods.h:4052:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/GPBoost/likelihoods.h:4061:106: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:4069:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:4075:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:4075:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4083:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ ./include/GPBoost/likelihoods.h:4125:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4136:88: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4136:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:4136:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4136:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:4149:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4149:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4158:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:4167:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:4207:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4207:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4207:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:4213:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4229:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:207:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>’ ./include/unconstrained/nm.hpp:206:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >’ ./include/unconstrained/nm.hpp:207:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:213:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:266:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 0> >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:576:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:576:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:576:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:648:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:801:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:1070:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1106:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1358:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1406:189: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/re_model_template.h:1406:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1406:239: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:1406:240: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>’ ./include/GPBoost/re_model_template.h:1406:241: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1454:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:1477:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1505:78: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/re_model_template.h:1505:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:2068:157: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3082:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3083:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3084:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3104:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3319:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3497:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3497:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/re_model_template.h:3551:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/GPBoost/re_model_template.h:3551:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/GPBoost/re_model_template.h:3551:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3555:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3555:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/re_model_template.h:3555:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:4481:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:4500:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4529:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:4535:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4588:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5579:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5579:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5907:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5907:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5910:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5910:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:6590:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6642:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/GPBoost/re_model_template.h:6642:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:6685:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6731:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6762:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6811:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6933:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6991:174: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:7074:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ./include/GPBoost/re_model_template.h:7314:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ ./include/GPBoost/re_model_template.h:7314:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ ./include/GPBoost/re_model_template.h:7314:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >’ ./include/GPBoost/re_model_template.h:7314:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:8171:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >’ ./include/GPBoost/re_model_template.h:8171:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c boosting/gbdt.cpp -o boosting/gbdt.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt.h:10, from boosting/gbdt.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/likelihoods.h:4389:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1560:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1707:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1757:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1763:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1788:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1855:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1864:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1879:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1880:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1914:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1927:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1927:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:2082:48: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/likelihoods.h:2082:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:2083:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:2106:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2106:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/likelihoods.h:2106:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2118:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2158:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2161:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2297:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/likelihoods.h:2412:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2441:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2456:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2687:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2692:103: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2693:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2707:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2719:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2767:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2780:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2780:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2789:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2938:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2950:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2951:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2956:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2958:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2969:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2970:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2975:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/GPBoost/likelihoods.h:3000:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/GPBoost/likelihoods.h:3001:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3147:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/likelihoods.h:3147:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3149:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/likelihoods.h:3156:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ ./include/GPBoost/likelihoods.h:3295:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3295:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3324:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3398:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:3500:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3525:162: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:3532:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3532:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3917:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:3917:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3917:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3941:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:3967:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:3967:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:4013:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:4016:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4023:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4038:58: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4038:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:4048:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ ./include/GPBoost/likelihoods.h:4048:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/likelihoods.h:4052:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/GPBoost/likelihoods.h:4061:106: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:4069:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:4075:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:4075:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4083:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ ./include/GPBoost/likelihoods.h:4125:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4136:88: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4136:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:4136:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4136:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:4149:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4149:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4158:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:4167:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:4207:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4207:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4207:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:4213:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4229:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:207:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>’ ./include/unconstrained/nm.hpp:206:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >’ ./include/unconstrained/nm.hpp:207:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:213:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:266:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 0> >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:576:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:576:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:576:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:648:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:801:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:1070:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1106:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1358:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1406:189: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/re_model_template.h:1406:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1406:239: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:1406:240: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>’ ./include/GPBoost/re_model_template.h:1406:241: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1454:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:1477:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1505:78: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/re_model_template.h:1505:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:2068:157: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3082:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3083:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3084:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3104:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3319:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3497:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3497:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/re_model_template.h:3551:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/GPBoost/re_model_template.h:3551:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/GPBoost/re_model_template.h:3551:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3555:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3555:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/re_model_template.h:3555:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:4481:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:4500:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4529:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:4535:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4588:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5579:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5579:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5907:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5907:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5910:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5910:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:6590:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6642:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/GPBoost/re_model_template.h:6642:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:6685:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6731:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6762:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6811:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6933:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6991:174: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:7074:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ./include/GPBoost/re_model_template.h:7314:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ ./include/GPBoost/re_model_template.h:7314:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ ./include/GPBoost/re_model_template.h:7314:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >’ ./include/GPBoost/re_model_template.h:7314:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:8171:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >’ ./include/GPBoost/re_model_template.h:8171:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c boosting/gbdt_model_text.cpp -o boosting/gbdt_model_text.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from boosting/gbdt_model_text.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/likelihoods.h:4389:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1560:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1707:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1757:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1763:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1788:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1855:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1864:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1879:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1880:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1914:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1927:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1927:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:2082:48: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/likelihoods.h:2082:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:2083:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:2106:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2106:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/likelihoods.h:2106:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2118:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2158:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2161:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2297:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/likelihoods.h:2412:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2441:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2456:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2687:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2692:103: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2693:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2707:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2719:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2767:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2780:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2780:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2789:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2938:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2950:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2951:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2956:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2958:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2969:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2970:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2975:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/GPBoost/likelihoods.h:3000:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/GPBoost/likelihoods.h:3001:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3147:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/likelihoods.h:3147:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3149:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/likelihoods.h:3156:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ ./include/GPBoost/likelihoods.h:3295:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3295:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3324:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3398:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:3500:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3525:162: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:3532:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3532:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3917:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:3917:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3917:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3941:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:3967:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:3967:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:4013:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:4016:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4023:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4038:58: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4038:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:4048:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ ./include/GPBoost/likelihoods.h:4048:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/likelihoods.h:4052:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/GPBoost/likelihoods.h:4061:106: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:4069:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:4075:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:4075:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4083:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ ./include/GPBoost/likelihoods.h:4125:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4136:88: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4136:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:4136:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4136:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:4149:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4149:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4158:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:4167:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:4207:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4207:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4207:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:4213:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4229:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:207:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>’ ./include/unconstrained/nm.hpp:206:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >’ ./include/unconstrained/nm.hpp:207:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:213:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:266:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 0> >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:576:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:576:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:576:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:648:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:801:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:1070:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1106:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1358:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1406:189: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/re_model_template.h:1406:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1406:239: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:1406:240: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>’ ./include/GPBoost/re_model_template.h:1406:241: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1454:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:1477:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1505:78: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/re_model_template.h:1505:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:2068:157: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3082:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3083:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3084:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3104:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3319:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3497:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3497:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/re_model_template.h:3551:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/GPBoost/re_model_template.h:3551:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/GPBoost/re_model_template.h:3551:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3555:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3555:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/re_model_template.h:3555:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:4481:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:4500:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4529:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:4535:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4588:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5579:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5579:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5907:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5907:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5910:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5910:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:6590:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6642:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/GPBoost/re_model_template.h:6642:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:6685:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6731:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6762:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6811:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6933:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6991:174: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:7074:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ./include/GPBoost/re_model_template.h:7314:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ ./include/GPBoost/re_model_template.h:7314:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ ./include/GPBoost/re_model_template.h:7314:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >’ ./include/GPBoost/re_model_template.h:7314:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:8171:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >’ ./include/GPBoost/re_model_template.h:8171:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c boosting/gbdt_prediction.cpp -o boosting/gbdt_prediction.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from boosting/gbdt_prediction.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/likelihoods.h:4389:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1560:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1707:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1757:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1763:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1788:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1855:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1864:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1879:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1880:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1914:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1927:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1927:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:2082:48: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/likelihoods.h:2082:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:2083:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:2106:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2106:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/likelihoods.h:2106:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2118:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2158:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2161:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2297:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/likelihoods.h:2412:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2441:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2456:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2687:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2692:103: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2693:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2707:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2719:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2767:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2780:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2780:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2789:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2938:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2950:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2951:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2956:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2958:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2969:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2970:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2975:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/GPBoost/likelihoods.h:3000:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/GPBoost/likelihoods.h:3001:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3147:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/likelihoods.h:3147:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3149:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/likelihoods.h:3156:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ ./include/GPBoost/likelihoods.h:3295:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3295:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3324:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3398:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:3500:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3525:162: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:3532:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3532:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3917:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:3917:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3917:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3941:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:3967:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:3967:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:4013:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:4016:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4023:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4038:58: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4038:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:4048:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ ./include/GPBoost/likelihoods.h:4048:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/likelihoods.h:4052:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/GPBoost/likelihoods.h:4061:106: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:4069:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:4075:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:4075:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4083:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ ./include/GPBoost/likelihoods.h:4125:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4136:88: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4136:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:4136:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4136:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:4149:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4149:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4158:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:4167:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:4207:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4207:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4207:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:4213:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4229:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:207:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>’ ./include/unconstrained/nm.hpp:206:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >’ ./include/unconstrained/nm.hpp:207:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:213:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:266:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 0> >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:576:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:576:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:576:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:648:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:801:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:1070:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1106:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1358:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1406:189: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/re_model_template.h:1406:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1406:239: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:1406:240: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>’ ./include/GPBoost/re_model_template.h:1406:241: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1454:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:1477:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1505:78: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/re_model_template.h:1505:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:2068:157: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3082:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3083:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3084:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3104:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3319:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3497:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3497:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/re_model_template.h:3551:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/GPBoost/re_model_template.h:3551:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/GPBoost/re_model_template.h:3551:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3555:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3555:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/re_model_template.h:3555:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:4481:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:4500:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4529:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:4535:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4588:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5579:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5579:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5907:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5907:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5910:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5910:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:6590:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6642:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/GPBoost/re_model_template.h:6642:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:6685:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6731:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6762:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6811:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6933:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6991:174: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:7074:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ./include/GPBoost/re_model_template.h:7314:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ ./include/GPBoost/re_model_template.h:7314:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ ./include/GPBoost/re_model_template.h:7314:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >’ ./include/GPBoost/re_model_template.h:7314:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:8171:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >’ ./include/GPBoost/re_model_template.h:8171:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c boosting/prediction_early_stop.cpp -o boosting/prediction_early_stop.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/bin.cpp -o io/bin.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/config.cpp -o io/config.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/config_auto.cpp -o io/config_auto.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/dataset.cpp -o io/dataset.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/dataset_loader.cpp -o io/dataset_loader.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/file_io.cpp -o io/file_io.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/json11.cpp -o io/json11.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/metadata.cpp -o io/metadata.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/parser.cpp -o io/parser.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/train_share_states.cpp -o io/train_share_states.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c io/tree.cpp -o io/tree.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c metric/dcg_calculator.cpp -o metric/dcg_calculator.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from metric/dcg_calculator.cpp:5: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/likelihoods.h:4389:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1560:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1707:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1757:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1763:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1788:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1855:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1864:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1879:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1880:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1914:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1927:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1927:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:2082:48: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/likelihoods.h:2082:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:2083:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:2106:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2106:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/likelihoods.h:2106:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2118:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2158:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2161:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2297:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/likelihoods.h:2412:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2441:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2456:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2687:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2692:103: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2693:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2707:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2719:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2767:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2780:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2780:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2789:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2938:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2950:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2951:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2956:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2958:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2969:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2970:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2975:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/GPBoost/likelihoods.h:3000:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/GPBoost/likelihoods.h:3001:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3147:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/likelihoods.h:3147:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3149:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/likelihoods.h:3156:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ ./include/GPBoost/likelihoods.h:3295:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3295:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3324:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3398:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:3500:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3525:162: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:3532:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3532:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3917:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:3917:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3917:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3941:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:3967:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:3967:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:4013:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:4016:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4023:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4038:58: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4038:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:4048:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ ./include/GPBoost/likelihoods.h:4048:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/likelihoods.h:4052:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/GPBoost/likelihoods.h:4061:106: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:4069:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:4075:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:4075:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4083:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ ./include/GPBoost/likelihoods.h:4125:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4136:88: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4136:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:4136:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4136:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:4149:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4149:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4158:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:4167:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:4207:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4207:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4207:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:4213:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4229:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:207:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>’ ./include/unconstrained/nm.hpp:206:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >’ ./include/unconstrained/nm.hpp:207:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:213:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:266:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 0> >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:576:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:576:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:576:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:648:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:801:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:1070:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1106:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1358:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1406:189: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/re_model_template.h:1406:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1406:239: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:1406:240: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>’ ./include/GPBoost/re_model_template.h:1406:241: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1454:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:1477:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1505:78: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/re_model_template.h:1505:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:2068:157: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3082:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3083:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3084:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3104:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3319:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3497:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3497:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/re_model_template.h:3551:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/GPBoost/re_model_template.h:3551:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/GPBoost/re_model_template.h:3551:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3555:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3555:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/re_model_template.h:3555:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:4481:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:4500:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4529:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:4535:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4588:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5579:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5579:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5907:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5907:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5910:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5910:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:6590:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6642:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/GPBoost/re_model_template.h:6642:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:6685:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6731:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6762:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6811:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6933:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6991:174: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:7074:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ./include/GPBoost/re_model_template.h:7314:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ ./include/GPBoost/re_model_template.h:7314:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ ./include/GPBoost/re_model_template.h:7314:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >’ ./include/GPBoost/re_model_template.h:7314:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:8171:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >’ ./include/GPBoost/re_model_template.h:8171:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c metric/metric.cpp -o metric/metric.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from ./include/LightGBM/metric.h:12, from metric/metric.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/likelihoods.h:4389:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1560:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1707:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1757:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1763:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1788:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1855:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1864:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1879:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1880:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1914:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1927:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1927:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:2082:48: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/likelihoods.h:2082:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:2083:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:2106:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2106:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/likelihoods.h:2106:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2118:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2158:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2161:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2297:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/likelihoods.h:2412:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2441:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2456:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2687:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2692:103: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2693:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2707:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2719:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2767:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2780:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2780:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2789:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2938:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2950:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2951:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2956:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2958:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2969:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2970:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2975:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/GPBoost/likelihoods.h:3000:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/GPBoost/likelihoods.h:3001:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3147:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/likelihoods.h:3147:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3149:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/likelihoods.h:3156:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ ./include/GPBoost/likelihoods.h:3295:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3295:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3324:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3398:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:3500:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3525:162: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:3532:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3532:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3917:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:3917:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3917:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3941:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:3967:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:3967:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:4013:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:4016:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4023:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4038:58: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4038:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:4048:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ ./include/GPBoost/likelihoods.h:4048:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/likelihoods.h:4052:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/GPBoost/likelihoods.h:4061:106: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:4069:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:4075:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:4075:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4083:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ ./include/GPBoost/likelihoods.h:4125:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4136:88: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4136:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:4136:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4136:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:4149:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4149:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4158:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:4167:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:4207:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4207:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4207:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:4213:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4229:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:207:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>’ ./include/unconstrained/nm.hpp:206:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >’ ./include/unconstrained/nm.hpp:207:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:213:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:266:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 0> >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:576:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:576:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:576:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:648:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:801:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:1070:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1106:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1358:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1406:189: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/re_model_template.h:1406:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1406:239: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:1406:240: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>’ ./include/GPBoost/re_model_template.h:1406:241: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1454:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:1477:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1505:78: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/re_model_template.h:1505:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:2068:157: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3082:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3083:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3084:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3104:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3319:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3497:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3497:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/re_model_template.h:3551:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/GPBoost/re_model_template.h:3551:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/GPBoost/re_model_template.h:3551:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3555:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3555:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/re_model_template.h:3555:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:4481:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:4500:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4529:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:4535:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4588:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5579:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5579:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5907:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5907:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5910:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5910:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:6590:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6642:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/GPBoost/re_model_template.h:6642:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:6685:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6731:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6762:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6811:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6933:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6991:174: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:7074:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ./include/GPBoost/re_model_template.h:7314:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ ./include/GPBoost/re_model_template.h:7314:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ ./include/GPBoost/re_model_template.h:7314:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >’ ./include/GPBoost/re_model_template.h:7314:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:8171:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >’ ./include/GPBoost/re_model_template.h:8171:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c objective/objective_function.cpp -o objective/objective_function.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from objective/objective_function.cpp:6: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/likelihoods.h:4389:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1560:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1707:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1757:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1763:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1788:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1855:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1864:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1879:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1880:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1914:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1927:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1927:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:2082:48: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/likelihoods.h:2082:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:2083:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:2106:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2106:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/likelihoods.h:2106:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2118:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2158:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2161:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2297:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/likelihoods.h:2412:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2441:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2456:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2687:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2692:103: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2693:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2707:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2719:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2767:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2780:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2780:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2789:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2938:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2950:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2951:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2956:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2958:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2969:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2970:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2975:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/GPBoost/likelihoods.h:3000:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/GPBoost/likelihoods.h:3001:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3147:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/likelihoods.h:3147:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3149:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/likelihoods.h:3156:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ ./include/GPBoost/likelihoods.h:3295:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3295:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3324:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3398:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:3500:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3525:162: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:3532:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3532:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3917:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:3917:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3917:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3941:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:3967:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:3967:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:4013:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:4016:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4023:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4038:58: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4038:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:4048:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ ./include/GPBoost/likelihoods.h:4048:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/likelihoods.h:4052:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/GPBoost/likelihoods.h:4061:106: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:4069:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:4075:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:4075:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4083:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ ./include/GPBoost/likelihoods.h:4125:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4136:88: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4136:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:4136:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4136:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:4149:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4149:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4158:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:4167:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:4207:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4207:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4207:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:4213:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4229:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:207:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>’ ./include/unconstrained/nm.hpp:206:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >’ ./include/unconstrained/nm.hpp:207:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:213:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:266:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 0> >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:576:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:576:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:576:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:648:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:801:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:1070:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1106:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1358:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1406:189: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/re_model_template.h:1406:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1406:239: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:1406:240: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>’ ./include/GPBoost/re_model_template.h:1406:241: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1454:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:1477:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1505:78: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/re_model_template.h:1505:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:2068:157: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3082:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3083:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3084:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3104:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3319:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3497:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3497:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/re_model_template.h:3551:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/GPBoost/re_model_template.h:3551:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/GPBoost/re_model_template.h:3551:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3555:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3555:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/re_model_template.h:3555:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:4481:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:4500:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4529:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:4535:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4588:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5579:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5579:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5907:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5907:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5910:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5910:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:6590:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6642:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/GPBoost/re_model_template.h:6642:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:6685:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6731:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6762:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6811:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6933:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6991:174: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:7074:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ./include/GPBoost/re_model_template.h:7314:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ ./include/GPBoost/re_model_template.h:7314:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ ./include/GPBoost/re_model_template.h:7314:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >’ ./include/GPBoost/re_model_template.h:7314:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:8171:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >’ ./include/GPBoost/re_model_template.h:8171:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c network/ifaddrs_patch.cpp -o network/ifaddrs_patch.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c network/linker_topo.cpp -o network/linker_topo.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c network/linkers_mpi.cpp -o network/linkers_mpi.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c network/linkers_socket.cpp -o network/linkers_socket.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c network/network.cpp -o network/network.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c treelearner/data_parallel_tree_learner.cpp -o treelearner/data_parallel_tree_learner.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c treelearner/feature_parallel_tree_learner.cpp -o treelearner/feature_parallel_tree_learner.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c treelearner/gpu_tree_learner.cpp -o treelearner/gpu_tree_learner.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c treelearner/linear_tree_learner.cpp -o treelearner/linear_tree_learner.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/Dense:1, from treelearner/linear_tree_learner.cpp:7: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ treelearner/linear_tree_learner.cpp:340:17: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ treelearner/linear_tree_learner.cpp:340:17: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ treelearner/linear_tree_learner.cpp:349:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Inverse > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Inverse > > >’ treelearner/linear_tree_learner.cpp:349:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse > > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse > > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Inverse > > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>’ treelearner/linear_tree_learner.cpp:349:63: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/LU/FullPivLU.h:493:28: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/LU/FullPivLU.h:493:44: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:517:47: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false> >’ ./include/Eigen/src/LU/FullPivLU.h:518:35: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:545:15: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:549:15: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:557:23: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:103: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/LU/FullPivLU.h:559:85: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:557:34: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]’ ./include/Eigen/src/LU/FullPivLU.h:557:34: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false> > >’ ./include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, -1, -1, false> > >’ ./include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:519:34: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Inverse > > >, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Inverse > > >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Inverse > > >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:469:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Inverse > >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = swap_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ ./include/Eigen/src/LU/FullPivLU.h:545:23: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = swap_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Block, -1, 1, true>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>]’ ./include/Eigen/src/LU/FullPivLU.h:549:23: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double]’ ./include/Eigen/src/LU/FullPivLU.h:557:34: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: ./include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ ./include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ ./include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/LU/FullPivLU.h:559:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, -1, 1, true>, -1, 1, false>, Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Inverse > > >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Inverse > > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Inverse > > >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/LU/FullPivLU.h:853:60: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Inverse > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/Eigen/src/LU/FullPivLU.h:853:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Inverse > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Inverse > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:768:69: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>]’ ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:559:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/LU/FullPivLU.h:493:55: required from ‘void Eigen::FullPivLU::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:122:7: required from ‘Eigen::FullPivLU& Eigen::FullPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:468:10: required from ‘Eigen::FullPivLU::FullPivLU(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/FullPivLU.h:870:10: required from ‘const Eigen::FullPivLU::PlainObject> Eigen::MatrixBase::fullPivLu() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ treelearner/linear_tree_learner.cpp:349:50: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ ./include/Eigen/src/LU/FullPivLU.h:767:22: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ ./include/Eigen/src/LU/FullPivLU.h:774:59: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, 1, -1, false>]’ ./include/Eigen/src/LU/FullPivLU.h:785:55: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 5]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 5]’ ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Block, -1, -1, false>; unsigned int _Mode = 5]’ ./include/Eigen/src/LU/FullPivLU.h:772:20: required from ‘void Eigen::FullPivLU::_solve_impl(const RhsType&, DstType&) const [with RhsType = Eigen::CwiseNullaryOp, Eigen::Matrix >; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Core/Solve.h:147:26: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, 1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Block, -1, -1, false>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, const Eigen::Inverse > > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ treelearner/linear_tree_learner.cpp:349:21: required from ‘void LightGBM::LinearTreeLearner::CalculateLinear(LightGBM::Tree*, bool, const LightGBM::score_t*, const LightGBM::score_t*, bool) const [with bool HAS_NAN = true; LightGBM::score_t = double]’ treelearner/linear_tree_learner.cpp:123:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c treelearner/serial_tree_learner.cpp -o treelearner/serial_tree_learner.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from ./include/LightGBM/objective_function.h:9, from treelearner/serial_tree_learner.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/likelihoods.h:4389:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1560:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1707:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1757:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1763:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1788:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1855:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1864:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1879:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1880:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1914:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1927:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1927:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:2082:48: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/likelihoods.h:2082:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:2083:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:2106:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2106:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/likelihoods.h:2106:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2118:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2158:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2161:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2297:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/likelihoods.h:2412:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2441:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2456:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2687:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2692:103: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2693:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2707:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2719:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2767:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2780:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2780:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2789:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2938:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2950:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2951:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2956:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2958:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2969:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2970:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2975:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/GPBoost/likelihoods.h:3000:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/GPBoost/likelihoods.h:3001:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3147:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/likelihoods.h:3147:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3149:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/likelihoods.h:3156:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ ./include/GPBoost/likelihoods.h:3295:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3295:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3324:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3398:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:3500:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3525:162: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:3532:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3532:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3917:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:3917:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3917:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3941:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:3967:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:3967:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:4013:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:4016:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4023:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4038:58: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4038:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:4048:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ ./include/GPBoost/likelihoods.h:4048:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/likelihoods.h:4052:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/GPBoost/likelihoods.h:4061:106: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:4069:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:4075:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:4075:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4083:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ ./include/GPBoost/likelihoods.h:4125:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4136:88: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4136:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:4136:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4136:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:4149:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4149:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4158:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:4167:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:4207:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4207:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4207:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:4213:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4229:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:207:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>’ ./include/unconstrained/nm.hpp:206:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >’ ./include/unconstrained/nm.hpp:207:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:213:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:266:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 0> >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:576:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:576:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:576:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:648:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:801:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:1070:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1106:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1358:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1406:189: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/re_model_template.h:1406:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1406:239: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:1406:240: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>’ ./include/GPBoost/re_model_template.h:1406:241: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1454:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:1477:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1505:78: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/re_model_template.h:1505:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:2068:157: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3082:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3083:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3084:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3104:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3319:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3497:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3497:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/re_model_template.h:3551:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/GPBoost/re_model_template.h:3551:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/GPBoost/re_model_template.h:3551:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3555:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3555:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/re_model_template.h:3555:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:4481:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:4500:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4529:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:4535:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4588:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5579:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5579:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5907:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5907:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5910:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5910:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:6590:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6642:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/GPBoost/re_model_template.h:6642:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:6685:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6731:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6762:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6811:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6933:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6991:174: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:7074:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ./include/GPBoost/re_model_template.h:7314:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ ./include/GPBoost/re_model_template.h:7314:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ ./include/GPBoost/re_model_template.h:7314:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >’ ./include/GPBoost/re_model_template.h:7314:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:8171:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >’ ./include/GPBoost/re_model_template.h:8171:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c treelearner/tree_learner.cpp -o treelearner/tree_learner.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c treelearner/voting_parallel_tree_learner.cpp -o treelearner/voting_parallel_tree_learner.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c c_api.cpp -o c_api.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from c_api.cpp:12: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/likelihoods.h:4389:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1560:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1707:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1757:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1763:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1788:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1855:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1864:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1879:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1880:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1914:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1927:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1927:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:2082:48: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/likelihoods.h:2082:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:2083:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:2106:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2106:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/likelihoods.h:2106:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2118:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2158:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2161:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2297:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/likelihoods.h:2412:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2441:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2456:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2687:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2692:103: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2693:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2707:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2719:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2767:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2780:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2780:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2789:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2938:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2950:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2951:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2956:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2958:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2969:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2970:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2975:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/GPBoost/likelihoods.h:3000:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/GPBoost/likelihoods.h:3001:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3147:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/likelihoods.h:3147:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3149:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/likelihoods.h:3156:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ ./include/GPBoost/likelihoods.h:3295:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3295:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3324:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3398:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:3500:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3525:162: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:3532:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3532:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3917:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:3917:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3917:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3941:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:3967:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:3967:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:4013:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:4016:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4023:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4038:58: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4038:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:4048:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ ./include/GPBoost/likelihoods.h:4048:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/likelihoods.h:4052:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/GPBoost/likelihoods.h:4061:106: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:4069:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:4075:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:4075:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4083:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ ./include/GPBoost/likelihoods.h:4125:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4136:88: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4136:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:4136:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4136:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:4149:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4149:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4158:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:4167:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:4207:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4207:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4207:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:4213:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4229:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:207:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>’ ./include/unconstrained/nm.hpp:206:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >’ ./include/unconstrained/nm.hpp:207:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:213:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:266:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 0> >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:576:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:576:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:576:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:648:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:801:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:1070:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1106:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1358:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1406:189: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/re_model_template.h:1406:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1406:239: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:1406:240: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>’ ./include/GPBoost/re_model_template.h:1406:241: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1454:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:1477:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1505:78: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/re_model_template.h:1505:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:2068:157: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3082:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3083:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3084:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3104:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3319:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3497:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3497:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/re_model_template.h:3551:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/GPBoost/re_model_template.h:3551:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/GPBoost/re_model_template.h:3551:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3555:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3555:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/re_model_template.h:3555:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:4481:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:4500:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4529:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:4535:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4588:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5579:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5579:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5907:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5907:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5910:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5910:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:6590:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6642:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/GPBoost/re_model_template.h:6642:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:6685:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6731:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6762:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6811:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6933:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6991:174: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:7074:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ./include/GPBoost/re_model_template.h:7314:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ ./include/GPBoost/re_model_template.h:7314:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ ./include/GPBoost/re_model_template.h:7314:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >’ ./include/GPBoost/re_model_template.h:7314:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:8171:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >’ ./include/GPBoost/re_model_template.h:8171:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Transpose >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Transpose >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >; Derived = Eigen::Block, 1, -1, false>]’ ./include/unconstrained/nm.hpp:151:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, const Eigen::Matrix >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; int ProductTag = 8; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/CoreEvaluators.h:104:54: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, member_sum, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:44:10: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<1, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Transpose >, Eigen::Matrix, gemm_blocking_space<1, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/GeneralProduct.h:296:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose, 1, -1, true> >; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c gpboost_R.cpp -o gpboost_R.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c re_model.cpp -o re_model.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/re_model.h:12, from re_model.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/likelihoods.h:4389:15: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1560:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1666:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1707:142: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:1707:150: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:1707:156: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1757:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1763:65: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1788:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1855:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:1864:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:38: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:1876:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1879:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1880:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1914:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:1919:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:1927:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:1927:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:2082:48: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/likelihoods.h:2082:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:2083:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:2106:74: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2106:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/likelihoods.h:2106:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/likelihoods.h:2106:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2118:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2158:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2161:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/likelihoods.h:2243:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2243:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2297:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/likelihoods.h:2412:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2441:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2456:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:113: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:2456:151: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2687:71: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2692:103: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:2693:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2707:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2719:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2767:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:2772:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:2780:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2780:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:2789:94: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2938:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2950:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/likelihoods.h:2950:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:2951:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:2956:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:2958:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2969:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2970:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2975:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/GPBoost/likelihoods.h:3000:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/GPBoost/likelihoods.h:3001:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3147:113: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/likelihoods.h:3147:118: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3149:86: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/likelihoods.h:3156:37: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 5> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 5, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 5>’ ./include/GPBoost/likelihoods.h:3295:65: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 5>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 5>, Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3295:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3324:78: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3355:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3398:61: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:3408:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:3500:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3525:162: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:3532:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3532:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3917:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:3917:166: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > >’ ./include/GPBoost/likelihoods.h:3917:168: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ ./include/GPBoost/likelihoods.h:3917:176: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3941:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:3967:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:3967:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:4013:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/GPBoost/likelihoods.h:4016:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4023:128: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4023:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4038:58: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4038:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4038:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/likelihoods.h:4048:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ ./include/GPBoost/likelihoods.h:4048:96: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/likelihoods.h:4052:80: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/GPBoost/likelihoods.h:4061:106: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/likelihoods.h:4069:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:115: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4069:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/likelihoods.h:4075:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:4075:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4083:127: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 1>’ ./include/GPBoost/likelihoods.h:4125:116: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/likelihoods.h:4136:88: recursively required by substitution of ‘template const typename Eigen::SparseMatrixBase::CwiseProductDenseReturnType >::Type Eigen::MatrixBase >::cwiseProduct(const Eigen::SparseMatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/likelihoods.h:4136:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:4136:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4136:136: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/likelihoods.h:4149:103: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4149:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4158:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:167: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/likelihoods.h:4165:169: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:4167:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:91: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:4207:131: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>’ ./include/GPBoost/likelihoods.h:4207:148: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4207:159: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:4213:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:4229:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:40:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/misc/matrix_ops/randn.hpp:52:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/jacobian_adjust.hpp:34:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ ./include/misc/numerical_gradient.hpp:37:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/misc/numerical_hessian.hpp:41:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/line_search/more_thuente.hpp:141:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:191:11: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:207:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:207:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/unconstrained/bfgs.hpp:210:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/unconstrained/bfgs.hpp:212:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:65:88: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:72:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:81:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:83:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:89:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:98:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:103:32: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:107:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:116:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:120:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/gd.ipp:140:93: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:143:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.ipp:151:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/unconstrained/gd.ipp:185:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/unconstrained/gd.ipp:192:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/unconstrained/nm.hpp:154:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:159:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::SingleRange>’ ./include/unconstrained/nm.hpp:206:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::Matrix, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::Matrix, Eigen::internal::AllRange<-1> >’ ./include/unconstrained/nm.hpp:207:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, -1, -1, false>, Eigen::internal::member_sum, 0>’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/unconstrained/nm.hpp:211:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:213:54: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose, 1, -1, false> > > > >’ ./include/unconstrained/nm.hpp:213:104: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:228:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:266:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > > >’ ./include/unconstrained/nm.hpp:266:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/unconstrained/nm.hpp:284:121: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::internal::member_sum, 0> >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, Eigen::internal::member_sum, 0> > > >’ ./include/constrained/sumt.hpp:165:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:107:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:107:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:107:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/GPBoost/optim_utils.h:576:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ ./include/GPBoost/optim_utils.h:576:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:576:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >’ ./include/GPBoost/optim_utils.h:648:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:801:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:1070:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1106:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1358:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1406:189: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/re_model_template.h:1406:189: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1406:239: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:1406:240: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>’ ./include/GPBoost/re_model_template.h:1406:241: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1454:147: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/GPBoost/re_model_template.h:1454:292: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1467:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1468:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:1477:122: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, false, Eigen::Dense>’ ./include/GPBoost/re_model_template.h:1505:78: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase, -1, 1, true> >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ ./include/GPBoost/re_model_template.h:1505:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:1595:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:2068:157: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3082:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3083:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3084:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3104:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3319:77: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:3497:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3497:86: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/re_model_template.h:3551:153: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/GPBoost/re_model_template.h:3551:155: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > >’ ./include/GPBoost/re_model_template.h:3551:161: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3555:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3555:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/re_model_template.h:3555:90: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/re_model_template.h:4481:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:4500:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4529:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:4535:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4588:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5579:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5579:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5907:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5907:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/re_model_template.h:5910:62: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:5910:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:6590:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6642:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/GPBoost/re_model_template.h:6642:132: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:6685:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6731:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:6762:146: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6811:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6916:140: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6917:180: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:143: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6933:126: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > >, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:6991:174: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:7074:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:7075:124: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse >’ ./include/GPBoost/re_model_template.h:7314:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ ./include/GPBoost/re_model_template.h:7314:37: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ ./include/GPBoost/re_model_template.h:7314:45: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, 0> > >’ ./include/GPBoost/re_model_template.h:7314:52: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, -1, 1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:8171:63: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >’ ./include/GPBoost/re_model_template.h:8171:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:125: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ re_model.cpp:277:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ./include/GPBoost/re_model_template.h:663:17: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ ./include/GPBoost/re_model_template.h:2041:74: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/GPBoost/re_model_template.h:2068:58: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/re_model_template.h:2109:79: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:666:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/re_model_template.h:2109:87: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:666:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ ./include/GPBoost/re_model_template.h:2109:93: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:666:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper, 0> > > > >’ ./include/GPBoost/re_model_template.h:6642:139: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:6647:38: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:6678:88: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’ ./include/GPBoost/re_model_template.h:6685:55: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/re_model_template.h:6688:107: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:6690:95: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:6731:108: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:6736:42: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:6693:66: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:745:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/re_model_template.h:2563:74: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>’ ./include/GPBoost/re_model_template.h:2592:45: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:2682:50: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ./include/GPBoost/re_model_template.h:2733:35: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/re_model_template.h:2766:63: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/re_model_template.h:2682:20: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:2682:50: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/GPBoost/re_model_template.h:2682:50: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/re_model_template.h:3048:51: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:3082:115: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3083:93: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:3084:74: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:3086:48: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:3104:42: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3119:69: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >’ ./include/GPBoost/re_model_template.h:3119:40: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/re_model_template.h:3127:69: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:3170:58: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/re_model_template.h:3170:37: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ ./include/GPBoost/re_model_template.h:3263:30: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, false>, 0>’ ./include/GPBoost/re_model_template.h:3272:36: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Transpose >, 2>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:3319:62: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:3343:77: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:3346:63: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/re_model_template.h:3119:61: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3119:69: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >’ ./include/GPBoost/re_model_template.h:3119:40: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 1, -1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, 1, -1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ ./include/GPBoost/re_model_template.h:3127:80: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >’ ./include/GPBoost/re_model_template.h:3127:69: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3133:33: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:3170:58: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/re_model_template.h:3170:37: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/GPBoost/re_model_template.h:3192:61: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:3343:77: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/re_model_template.h:3346:42: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 2>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:3346:63: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix >’ ./include/GPBoost/re_model_template.h:3119:69: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::SparseMatrix > >’ ./include/GPBoost/re_model_template.h:3119:40: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/re_model_template.h:3127:69: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/GPBoost/re_model_template.h:3133:33: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:3170:58: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/re_model_template.h:3170:37: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:3343:77: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/GPBoost/re_model_template.h:3346:42: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:3346:63: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:3497:100: required from ‘void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1150:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/re_model_template.h:3509:67: required from ‘void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1150:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/re_model_template.h:3509:67: required from ‘void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1153:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:3509:67: required from ‘void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1156:41: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/optim_utils.h:576:108: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/optim_utils.h:648:105: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:1362:47: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1389:73: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 1> >’ ./include/GPBoost/re_model_template.h:1406:57: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1443:53: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1442:134: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>’ ./include/GPBoost/re_model_template.h:1453:86: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/GPBoost/re_model_template.h:1454:149: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/re_model_template.h:1463:62: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1467:111: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1477:120: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:1595:54: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/re_model_template.h:7410:32: required from ‘void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1031:9: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/re_model_template.h:7435:46: required from ‘void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1031:9: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/re_model_template.h:7437:34: required from ‘void GPBoost::REModelTemplate::CalcHessianCovParAuxPars(const GPBoost::vec_t&, bool, const double*, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1031:9: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:6916:105: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:6917:131: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/re_model_template.h:6923:70: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/re_model_template.h:6989:86: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/GPBoost/re_model_template.h:7080:81: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/re_model_template.h:7201:75: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:5579:61: required from ‘void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1045:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ ./include/GPBoost/re_model_template.h:5890:50: required from ‘void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1051:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > >, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:5907:139: required from ‘void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1051:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/re_model_template.h:5910:75: required from ‘void GPBoost::REModelTemplate::UpdateCovAuxPars(GPBoost::vec_t&, const GPBoost::vec_t&, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1051:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, 0> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, 0> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >’ ./include/GPBoost/re_model_template.h:7314:59: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:1389:73: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/re_model_template.h:1443:53: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1442:134: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/re_model_template.h:1463:62: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:1581:117: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:1581:130: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/re_model_template.h:7210:44: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/re_model_template.h:1442:134: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:1581:117: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:1581:130: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SparseMatrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SparseMatrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:7210:44: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >’ ./include/Eigen/src/SparseCore/SparseTriangularView.h:78:54: required from ‘struct Eigen::internal::unary_evaluator, 1>, Eigen::internal::IteratorBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1> >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::TriangularView, 1>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ./include/GPBoost/re_model_template.h:2041:32: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/GPBoost/re_comp.h:1220:54: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2070:93: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>’ ./include/GPBoost/re_comp.h:1220:54: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:2071:87: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/CG_utils.h:493:12: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/GPBoost/CG_utils.h:506:31: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/GPBoost/CG_utils.h:526:53: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >’ ./include/GPBoost/CG_utils.h:561:10: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>’ ./include/GPBoost/re_comp.h:1220:54: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZt() const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:2071:87: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:656:42: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Transpose > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, 1>, Eigen::Transpose > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose, 1>, Eigen::Transpose > > > >’ ./include/GPBoost/Vecchia_utils.h:473:25: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/GPBoost/Vecchia_utils.h:480:119: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/re_model_template.h:4369:63: required from ‘void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T3>::value || std::is_same, T3>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:6648:17: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ ./include/Eigen/src/Cholesky/LLT.h:455:43: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:1864:36: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/GPBoost/likelihoods.h:1876:35: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:1879:53: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/likelihoods.h:1911:65: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:1927:89: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/GPBoost/likelihoods.h:2083:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6522:60: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/GPBoost/likelihoods.h:2106:103: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6522:60: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2109:32: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6522:60: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>’ ./include/GPBoost/likelihoods.h:2115:40: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6522:60: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1>’ ./include/GPBoost/likelihoods.h:2118:52: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6522:60: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/GPBoost/likelihoods.h:2158:97: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6522:60: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:1665:32: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6532:65: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:1666:31: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6532:65: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:1757:18: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:6541:93: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1563:70: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6550:62: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:1569:20: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6550:62: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:359:12: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:359:63: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/CG_utils.h:359:30: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:368:73: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/GPBoost/CG_utils.h:370:31: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/CG_utils.h:383:24: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:2687:45: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:2692:77: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/likelihoods.h:2719:34: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:2720:59: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:2767:38: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, 0> >, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/likelihoods.h:2780:28: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2782:58: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:2798:90: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:2938:64: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2968:59: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product >, Eigen::Matrix, 0> >, 1>’ ./include/GPBoost/likelihoods.h:2974:44: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, const Eigen::Matrix > >, Eigen::Product >, Eigen::Matrix, 1>, 1> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/likelihoods.h:3000:88: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/likelihoods.h:3014:58: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Block, -1, 1, true>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 2>’ ./include/GPBoost/likelihoods.h:2412:36: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5781:77: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2443:39: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5781:77: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:2456:117: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5781:77: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2472:43: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5781:77: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/GPBoost/likelihoods.h:2242:55: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2265:33: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2284:62: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SparseMatrix, 2>’ ./include/GPBoost/re_model_template.h:4369:63: required from ‘void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T3>::value || std::is_same, T3>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:6648:17: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:729:36: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/likelihoods.h:1563:59: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6550:62: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:739:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:1563:70: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6550:62: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:739:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:1569:20: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6550:62: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:739:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:359:12: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:745:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/CG_utils.h:359:30: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:745:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/CG_utils.h:383:24: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:745:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:2242:91: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:749:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/GPBoost/likelihoods.h:2242:55: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:749:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/likelihoods.h:2265:60: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:749:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2265:33: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:749:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:2284:94: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:749:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2284:62: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:749:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/likelihoods.h:1563:70: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6550:62: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:767:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Solve, 1>, Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:1569:20: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6550:62: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:767:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/CG_utils.h:359:30: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:773:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/GPBoost/CG_utils.h:383:24: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::Matrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:773:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>’ ./include/GPBoost/likelihoods.h:2242:91: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:777:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0> >’ ./include/GPBoost/likelihoods.h:2242:55: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:777:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’ ./include/GPBoost/likelihoods.h:2265:33: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:777:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/likelihoods.h:2284:62: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:777:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:754:14: required from ‘void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setIdentity() [with _Scalar = double; int _Options = 0; _StorageIndex = int]’ ./include/GPBoost/re_model_template.h:2562:26: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseView.h:45:7: required from ‘class Eigen::SparseView >’ ./include/GPBoost/utils.h:191:22: required from ‘void GPBoost::ConvertTo_T_mat_FromDense(den_mat_t, T_mat1&) [with T_mat1 = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2593:41: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:730:21: required from ‘void GPBoost::CalcPredVecchiaObservedFirstOrder(bool, data_size_t, int, std::map >&, const den_mat_t&, const den_mat_t&, const double*, int, const string_t&, std::map > > >&, int, int, int, const vec_t&, bool, RNG_t&, bool, bool, vec_t&, T_mat&, vec_t&, sp_mat_t&, sp_mat_t&, vec_t&) [with T_mat = Eigen::SparseMatrix; data_size_t = int; den_mat_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix; RNG_t = std::mersenne_twister_engine; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:2801:49: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/Vecchia_utils.h:977:66: required from ‘void GPBoost::CalcPredVecchiaPredictedFirstOrder(data_size_t, int, std::map >&, const den_mat_t&, const den_mat_t&, const double*, int, const string_t&, std::map > > >&, int, int, int, const vec_t&, RNG_t&, bool, bool, vec_t&, T_mat&, vec_t&) [with T_mat = Eigen::SparseMatrix; data_size_t = int; den_mat_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix; RNG_t = std::mersenne_twister_engine]’ ./include/GPBoost/re_model_template.h:2813:50: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:980:33: required from ‘void GPBoost::CalcPredVecchiaPredictedFirstOrder(data_size_t, int, std::map >&, const den_mat_t&, const den_mat_t&, const double*, int, const string_t&, std::map > > >&, int, int, int, const vec_t&, RNG_t&, bool, bool, vec_t&, T_mat&, vec_t&) [with T_mat = Eigen::SparseMatrix; data_size_t = int; den_mat_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix; RNG_t = std::mersenne_twister_engine]’ ./include/GPBoost/re_model_template.h:2813:50: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/Vecchia_utils.h:1158:68: required from ‘void GPBoost::CalcPredVecchiaLatentObservedFirstOrder(bool, data_size_t, const den_mat_t&, const den_mat_t&, int, const string_t&, std::map > > >&, int, const vec_t&, RNG_t&, bool, bool, bool, vec_t&, T_mat&, vec_t&) [with T_mat = Eigen::SparseMatrix; data_size_t = int; den_mat_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix; RNG_t = std::mersenne_twister_engine]’ ./include/GPBoost/re_model_template.h:2822:55: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:1166:83: required from ‘void GPBoost::CalcPredVecchiaLatentObservedFirstOrder(bool, data_size_t, const den_mat_t&, const den_mat_t&, int, const string_t&, std::map > > >&, int, const vec_t&, RNG_t&, bool, bool, bool, vec_t&, T_mat&, vec_t&) [with T_mat = Eigen::SparseMatrix; data_size_t = int; den_mat_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix; RNG_t = std::mersenne_twister_engine]’ ./include/GPBoost/re_model_template.h:2822:55: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product >, Eigen::Transpose >, 2>, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 2>, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 2>, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:38: required from ‘void GPBoost::CalcPredVecchiaLatentObservedFirstOrder(bool, data_size_t, const den_mat_t&, const den_mat_t&, int, const string_t&, std::map > > >&, int, const vec_t&, RNG_t&, bool, bool, bool, vec_t&, T_mat&, vec_t&) [with T_mat = Eigen::SparseMatrix; data_size_t = int; den_mat_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix; RNG_t = std::mersenne_twister_engine]’ ./include/GPBoost/re_model_template.h:2822:55: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product, Eigen::Transpose >, 2> >’ ./include/GPBoost/Vecchia_utils.h:1173:58: required from ‘void GPBoost::CalcPredVecchiaLatentObservedFirstOrder(bool, data_size_t, const den_mat_t&, const den_mat_t&, int, const string_t&, std::map > > >&, int, const vec_t&, RNG_t&, bool, bool, bool, vec_t&, T_mat&, vec_t&) [with T_mat = Eigen::SparseMatrix; data_size_t = int; den_mat_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix; RNG_t = std::mersenne_twister_engine]’ ./include/GPBoost/re_model_template.h:2822:55: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:20: required from ‘void GPBoost::CalcPredVecchiaLatentObservedFirstOrder(bool, data_size_t, const den_mat_t&, const den_mat_t&, int, const string_t&, std::map > > >&, int, const vec_t&, RNG_t&, bool, bool, bool, vec_t&, T_mat&, vec_t&) [with T_mat = Eigen::SparseMatrix; data_size_t = int; den_mat_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix; RNG_t = std::mersenne_twister_engine]’ ./include/GPBoost/re_model_template.h:2822:55: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve, 5>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve, 5>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve, 5>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Solve, 5>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Solve, 5>, Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3295:17: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2874:60: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/likelihoods.h:3314:32: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2874:60: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >, 2>’ ./include/GPBoost/likelihoods.h:3324:56: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2874:60: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:3355:82: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2874:60: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3422:30: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2874:60: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 2>, const Eigen::Product >, Eigen::SparseMatrix, 2> >’ ./include/GPBoost/likelihoods.h:3432:50: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::vec_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2874:60: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/re_model_template.h:7990:35: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/re_model_template.h:8091:73: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 1> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/re_model_template.h:8106:55: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/re_model_template.h:8106:55: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>’ ./include/GPBoost/re_model_template.h:8109:68: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>’ ./include/GPBoost/re_model_template.h:8165:64: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8183:91: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8204:99: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:8221:123: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>’ ./include/GPBoost/re_model_template.h:8225:51: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 2> >’ ./include/GPBoost/re_model_template.h:8238:109: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ ./include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:128:64: required from ‘Derived& Eigen::SparseMatrixBase::operator*=(const Scalar&) [with Derived = Eigen::SparseMatrix; Scalar = double]’ ./include/GPBoost/re_model_template.h:2640:12: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/re_model_template.h:8091:73: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>’ ./include/GPBoost/re_model_template.h:8109:68: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>’ ./include/GPBoost/re_model_template.h:8165:64: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>’ ./include/GPBoost/re_model_template.h:7756:96: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Block, -1, 1, true>, 0>’ ./include/GPBoost/re_model_template.h:8091:73: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>’ ./include/GPBoost/re_model_template.h:8109:68: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block >, -1, 1, false>, 0>’ ./include/GPBoost/re_model_template.h:8165:64: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::Matrix, 1>’ ./include/GPBoost/re_model_template.h:7756:96: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ ./include/GPBoost/re_model_template.h:7757:45: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3051:131: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3051:131: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, true> > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3089:67: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:407:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3127:88: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, false> > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3139:93: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true>, Eigen::internal::IteratorBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from ‘struct Eigen::internal::block_evaluator, 1, -1, true, false>’ ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:408:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >’ ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3127:88: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:408:54: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:334:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >, Eigen::internal::IteratorBased, Eigen::internal::IteratorBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> > >’ ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3127:88: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, 1, -1, true> > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, true>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, true> >’ ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3139:93: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Block, -1, 1, false> > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3192:76: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:607:75: required from ‘struct Eigen::internal::sparse_conjunction_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:352:8: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::internal::IteratorBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3127:88: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3139:93: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3192:76: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ./include/GPBoost/re_model_template.h:3497:20: required from ‘void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1150:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::ArrayWrapper > > > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ./include/GPBoost/re_model_template.h:3497:20: required from ‘void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1150:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::SparseMatrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:4854:51: required from ‘void GPBoost::REModelTemplate::InitializeMatricesForOnlyGroupedREsUseWoodburyIdentity() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:285:5: required from ‘GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, const char*, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:99:9: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:521:73: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:798:45: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’ ./include/GPBoost/re_model_template.h:6762:57: required from ‘void GPBoost::REModelTemplate::CalcYtilde(bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:1894:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactorOrModeAndNegLL(const GPBoost::vec_t&, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:887:5: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, -1, 1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper, -1, 1, false> > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper, -1, 1, false> > > >’ ./include/GPBoost/optim_utils.h:107:103: required from ‘double GPBoost::EvalLLforOptimLib(const vec_t&, vec_t*, void*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:603:13: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ ./include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::InnerStride<1> > >’ ./include/Eigen/src/Core/Ref.h:341:77: required from ‘class Eigen::Ref, 0, Eigen::InnerStride<1> >’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/CoreEvaluators.h:167:44: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’ ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1358:39: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>’ ./include/GPBoost/re_comp.h:1271:57: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ ./include/GPBoost/re_comp.h:1271:66: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/re_comp.h:1271:57: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>’ ./include/GPBoost/re_comp.h:1271:66: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::SingleRange>’ ./include/GPBoost/re_model_template.h:4351:11: required from ‘void GPBoost::REModelTemplate::GetYAux(GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1594:13: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, false> > > > > > >’ ./include/GPBoost/re_model_template.h:3551:168: required from ‘static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6367:23: required from ‘void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:968:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > > > >’ ./include/GPBoost/re_model_template.h:3555:97: required from ‘static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6367:23: required from ‘void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:968:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/GPBoost/re_model_template.h:3558:33: required from ‘static void GPBoost::REModelTemplate::ApplyMomentumStep(int, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, double, int, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6367:23: required from ‘void GPBoost::REModelTemplate::UpdateLinCoef(GPBoost::vec_t&, const GPBoost::vec_t&, double, bool, int, GPBoost::vec_t&, GPBoost::vec_t&, double, int, int, const double*, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:968:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:981:37: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/GPBoost/CG_utils.h:635:12: required from ‘void GPBoost::CGFSA_MULTI_RHS(const T_mat&, const den_mat_t&, const chol_den_mat_t&, const den_mat_t&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; chol_den_mat_t = Eigen::LLT, 1>; data_size_t = int; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7083:32: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1070:101: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1071:100: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1106:92: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/re_model_template.h:4512:40: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’ ./include/GPBoost/re_model_template.h:4535:59: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix > >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/re_model_template.h:4538:111: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, const Eigen::Matrix >’ ./include/GPBoost/re_model_template.h:4540:85: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/GPBoost/sparse_matrix_utils.h:390:29: required from ‘void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]’ ./include/GPBoost/re_model_template.h:1396:44: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/re_comp.h:1271:57: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::SparseMatrix, 2>, Eigen::Transpose >, 2>’ ./include/GPBoost/re_comp.h:1271:66: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/re_comp.h:1274:46: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/Eigen/src/SparseCore/SparseDot.h:79:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::SparseMatrixBase::squaredNorm() const [with Derived = Eigen::SparseMatrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1561:90: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>’ ./include/GPBoost/re_model_template.h:4481:39: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ./include/GPBoost/cov_fcts.h:662:17: required from ‘void GPBoost::CovFunction::GetCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1145:36: required from ‘void GPBoost::RECompGP::CalcSigma() [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:5373:48: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1194:15: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ./include/GPBoost/likelihoods.h:1927:28: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1195:19: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, Eigen::SparseMatrix, 0>; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ./include/GPBoost/likelihoods.h:1927:28: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Block, -1, 1, true>, 0>, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, const Eigen::ArrayWrapper, -1, 1, true> > > > >’ ./include/GPBoost/likelihoods.h:3917:72: required from ‘void GPBoost::Likelihood::CalcLogDetStoch(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/likelihoods.h:2024:7: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>’ ./include/GPBoost/likelihoods.h:3941:63: required from ‘void GPBoost::Likelihood::CalcLogDetStoch(const GPBoost::data_size_t&, const int&, GPBoost::den_mat_t&, const GPBoost::sp_mat_t&, GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/likelihoods.h:2024:7: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from ‘Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::SparseMatrix]’ ./include/GPBoost/likelihoods.h:1563:31: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6550:62: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ ./include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, -1, -1>’ ./include/GPBoost/likelihoods.h:4005:49: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:4013:83: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>’ ./include/GPBoost/likelihoods.h:4016:45: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/GPBoost/likelihoods.h:4018:33: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4020:30: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/likelihoods.h:4023:54: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4032:82: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:4048:102: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:4052:86: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:4061:112: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/likelihoods.h:4069:124: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Matrix > >’ ./include/GPBoost/likelihoods.h:4075:88: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from ‘Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ ./include/GPBoost/likelihoods.h:2693:24: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 1>, Eigen::Block, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:4125:122: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2697:7: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >’ ./include/GPBoost/likelihoods.h:4130:104: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2697:7: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/likelihoods.h:4141:139: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2697:7: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:4167:89: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2697:7: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, const Eigen::SparseMatrix >’ ./include/GPBoost/likelihoods.h:4168:89: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2697:7: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> > >’ ./include/GPBoost/likelihoods.h:4207:51: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:4231:80: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> > >’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from ‘Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 2>, Eigen::SparseMatrix, 2> >; Derived = Eigen::SparseMatrix]’ ./include/GPBoost/likelihoods.h:2772:21: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from ‘struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>’ ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 0> >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ./include/GPBoost/likelihoods.h:2403:13: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5781:77: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0> >’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from ‘Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 0>; Derived = Eigen::SparseMatrix]’ ./include/GPBoost/likelihoods.h:1563:31: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6550:62: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:739:49: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:657:32: required from ‘Derived& Eigen::SparseMatrixBase::operator-=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; Derived = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8067:18: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from ‘struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>’ ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ./include/GPBoost/re_model_template.h:8109:15: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/SparseCore/SparseDiagonalProduct.h:49:8: required from ‘struct Eigen::internal::product_evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>, 8, Eigen::SparseShape, Eigen::DiagonalShape, double, double>’ ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0> >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 0>; _Scalar = double; int _Options = 0; _StorageIndex = int]’ ./include/GPBoost/re_model_template.h:8225:33: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/likelihoods.h:3507:71: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ ./include/GPBoost/likelihoods.h:3508:106: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 2> > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 2>, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product, Eigen::Transpose >, 2> >’ ./include/GPBoost/likelihoods.h:3525:107: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>, 2>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/likelihoods.h:3147:116: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7819:59: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:3084:37: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7850:56: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/SparseCore/SparseRedux.h:21:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::sum() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:7785:69: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 0>, Eigen::Transpose >, 2>’ ./include/GPBoost/likelihoods.h:3229:66: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:3084:37: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7850:56: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>’ ./include/GPBoost/likelihoods.h:3229:66: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 1>’ ./include/GPBoost/likelihoods.h:3084:37: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7850:56: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/sparse_matrix_utils.h:118:43: required from ‘void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]’ ./include/GPBoost/sparse_matrix_utils.h:324:52: required from ‘void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]’ ./include/GPBoost/re_model_template.h:3132:71: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1102:50: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/sparse_matrix_utils.h:118:43: required from ‘void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]’ ./include/GPBoost/sparse_matrix_utils.h:324:52: required from ‘void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]’ ./include/GPBoost/re_model_template.h:3132:71: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:1111:53: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:218:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, const Eigen::ArrayWrapper, const Eigen::ArrayWrapper, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.hpp:226:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_comp.h:1536:56: required from ‘bool GPBoost::RECompGP::HasDuplicatedCoords() const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5167:34: required from ‘void GPBoost::REModelTemplate::CreateREComponentsPPFSA(GPBoost::data_size_t, std::map >&, GPBoost::data_size_t, const double*, std::vector > > >&, std::vector > > >&, std::vector > >&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:262:6: required from ‘GPBoost::REModelTemplate::REModelTemplate(GPBoost::data_size_t, const GPBoost::data_size_t*, const char*, GPBoost::data_size_t, const double*, const GPBoost::data_size_t*, GPBoost::data_size_t, const int*, GPBoost::data_size_t, const double*, int, const double*, GPBoost::data_size_t, const char*, double, const char*, double, double, int, const char*, int, double, const char*, const char*, const char*, int) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:99:9: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>’ ./include/Eigen/src/Householder/Householder.h:45:80: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ./include/Eigen/src/Householder/Householder.h:127:63: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ ./include/Eigen/src/Householder/Householder.h:128:82: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Householder/Householder.h:129:38: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ ./include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Householder/Householder.h:130:21: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Householder/Householder.h:132:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true> >’ ./include/LBFGSpp/BFGSMat.h:109:56: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>’ ./include/LBFGSpp/BFGSMat.h:109:59: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ ./include/Eigen/src/Core/Ref.h:59:34: required from ‘class Eigen::RefBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/Ref.h:341:77: required from ‘class Eigen::Ref, 0, Eigen::OuterStride<> >’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true> >’ ./include/LBFGSpp/BFGSMat.h:163:41: required from ‘void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]’ ./include/LBFGS.h:200:28: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1368:95: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Diagonal, 0>, const Eigen::Diagonal, 0> >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Diagonal, 0>; U = Eigen::Diagonal, 0>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Diagonal, 0>; Derived = Eigen::Diagonal, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1369:51: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/sparse_matrix_utils.h:390:37: required from ‘void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]’ ./include/GPBoost/re_model_template.h:1396:44: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/sparse_matrix_utils.h:390:37: required from ‘void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]’ ./include/GPBoost/re_model_template.h:1396:44: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:1068:21: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ ./include/GPBoost/cov_fcts.h:1072:43: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/cov_fcts.h:1072:59: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ ./include/GPBoost/cov_fcts.h:1072:59: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/cov_fcts.h:1072:78: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/GPBoost/cov_fcts.h:1072:46: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/cov_fcts.h:1072:46: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/cov_fcts.h:1072:89: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ ./include/GPBoost/cov_fcts.h:1072:21: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/cov_fcts.h:1076:62: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/cov_fcts.h:1076:56: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/cov_fcts.h:1076:88: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/cov_fcts.h:1076:131: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > > > > >’ ./include/GPBoost/cov_fcts.h:1076:31: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >’ ./include/GPBoost/cov_fcts.h:1080:70: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >’ ./include/GPBoost/cov_fcts.h:1080:41: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper > > > > >’ ./include/GPBoost/cov_fcts.h:1080:21: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/cov_fcts.h:1084:58: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/cov_fcts.h:1084:73: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/GPBoost/cov_fcts.h:1084:41: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ ./include/GPBoost/cov_fcts.h:1084:21: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1421:110: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1422:70: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’ ./include/GPBoost/cov_fcts.h:1434:21: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ./include/GPBoost/cov_fcts.h:1439:43: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ./include/GPBoost/cov_fcts.h:1439:52: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/GPBoost/cov_fcts.h:1439:30: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ./include/GPBoost/cov_fcts.h:1439:68: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/GPBoost/cov_fcts.h:1439:88: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/GPBoost/cov_fcts.h:1439:55: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/GPBoost/cov_fcts.h:1444:72: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/GPBoost/cov_fcts.h:1444:66: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/GPBoost/cov_fcts.h:1444:99: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >’ ./include/GPBoost/cov_fcts.h:1444:143: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > > > >’ ./include/GPBoost/cov_fcts.h:1444:40: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/GPBoost/cov_fcts.h:1449:47: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ ./include/GPBoost/cov_fcts.h:1454:67: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/GPBoost/cov_fcts.h:1454:47: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block >, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1505:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1506:55: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product >, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product >, Eigen::Matrix, 1>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1508:98: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseUnaryOp, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1509:95: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:5621:42: required from ‘void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCoef(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:962:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, 1, -1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:7113:76: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true> >, const Eigen::Block, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, 1, -1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:7113:76: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:5563:85: required from ‘void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1045:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:5587:78: required from ‘void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1045:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/sparse_matrix_utils.h:390:37: required from ‘void GPBoost::CalcLtLGivenSparsityPattern(const T_mat&, T_mat&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0]’ ./include/GPBoost/re_model_template.h:1396:44: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::SparseMatrix > >’ ./include/GPBoost/cov_fcts.h:1434:21: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:1429:99: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1495:98: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 2> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 2> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 2>’ ./include/GPBoost/sparse_matrix_utils.h:118:43: required from ‘void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]’ ./include/GPBoost/sparse_matrix_utils.h:324:52: required from ‘void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]’ ./include/GPBoost/re_model_template.h:6837:66: required from ‘void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:2021:4: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ ./include/GPBoost/sparse_matrix_utils.h:121:31: required from ‘void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]’ ./include/GPBoost/sparse_matrix_utils.h:324:52: required from ‘void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]’ ./include/GPBoost/re_model_template.h:6837:66: required from ‘void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:2021:4: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/Eigen/src/Core/PlainObjectBase.h:1022:16: required from ‘static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]’ ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ ./include/GPBoost/CG_utils.h:571:34: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 2>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 2> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 2> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 2, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 2, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 2>’ ./include/GPBoost/sparse_matrix_utils.h:118:43: required from ‘void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]’ ./include/GPBoost/sparse_matrix_utils.h:324:52: required from ‘void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]’ ./include/GPBoost/re_model_template.h:6599:72: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 2>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 2> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 2> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 2, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 2, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 2>’ ./include/GPBoost/sparse_matrix_utils.h:121:31: required from ‘void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]’ ./include/GPBoost/sparse_matrix_utils.h:324:52: required from ‘void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]’ ./include/GPBoost/re_model_template.h:6599:72: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:455:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:455:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ ./include/Eigen/src/Cholesky/LLT.h:371:27: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/CG_utils.h:285:39: required from ‘void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6506:40: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Matrix; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/CG_utils.h:285:39: required from ‘void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6506:40: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/CG_utils.h:295:52: required from ‘void GPBoost::PivotedCholsekyFactorizationSigma(RECompBase*, den_mat_t&, int, double) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6506:40: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:7956:64: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:7976:71: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from ‘struct Eigen::internal::evaluator_wrapper_base >, -1, 1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from ‘struct Eigen::internal::unary_evaluator >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:564:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, -1, 1, false> > > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:8171:76: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseDot.h:56:38: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/likelihoods.h:3538:44: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from ‘Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ ./include/GPBoost/re_comp.h:500:17: required from ‘void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:7606:32: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > > >’: ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:36:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::SparseMatrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix > >’ ./include/Eigen/src/SparseCore/SparseCwiseBinaryOp.h:665:32: required from ‘Derived& Eigen::SparseMatrixBase::operator+=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::SparseMatrix >; Derived = Eigen::SparseMatrix]’ ./include/GPBoost/re_comp.h:500:17: required from ‘void GPBoost::RECompGroup::AddPredCovMatrices(const std::vector >&, T_mat&, T_mat&, bool, bool, bool, bool, const double*) [with T_mat = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:7606:32: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1028:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/gd.ipp:183:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:172:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:302:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/nm.hpp:306:107: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, 1, -1, false> >; Derived = Eigen::Block, 1, -1, false>]’ ./include/Eigen/src/Core/Visitor.h:302:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:521:90: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:76:64: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:798:45: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:801:75: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/cov_fcts.h:1141:126: required from ‘void GPBoost::CovFunction::GetCovMatGradRange(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const T_mat&, const GPBoost::vec_t&, T_mat&, bool, double, int, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1284:47: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/GP_utils.h:394:36: required from ‘void GPBoost::SubtractProdFromMat(T_mat&, const den_mat_t&, const den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1433:37: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1070:101: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:2044:64: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:330:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:351:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ ./include/Eigen/src/Cholesky/LLT.h:339:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:351:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:330:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Cholesky/LLT.h:339:58: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ ./include/Eigen/src/Cholesky/LLT.h:339:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, -1, 1, true> > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:5369:98: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, 1, -1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, 1, -1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, 1, -1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, true>’ ./include/Eigen/src/SparseCore/SparsePermutation.h:48:90: required from ‘static void Eigen::internal::permutation_matrix_product::run(Dest&, const PermutationType&, const ExpressionType&) [with Dest = Eigen::SparseMatrix; PermutationType = Eigen::PermutationMatrix<-1, -1, int>; ExpressionType = Eigen::SparseMatrix; int Side = 1; bool Transposed = false]’ ./include/Eigen/src/Core/ProductEvaluators.h:1063:72: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dest&, const Lhs&, const Rhs&) [with Dest = Eigen::SparseMatrix; Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::SparseMatrix; int ProductTag = 8; MatrixShape = Eigen::SparseShape]’ ./include/Eigen/src/SparseCore/SparseProduct.h:174:51: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::Product&) [with Lhs = Eigen::PermutationMatrix<-1, -1, int>; Rhs = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ./include/GPBoost/re_model_template.h:4369:23: required from ‘void GPBoost::REModelTemplate::CalcChol(const T_mat&, GPBoost::data_size_t) [with T_aux = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T3>::value || std::is_same, T3>::value)>::type* = 0; T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:6648:17: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:729:36: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/line_search/more_thuente.hpp:99:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/unconstrained/bfgs.hpp:180:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:136:59: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: ./include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; CoeffReturnType = const double&; Eigen::Index = long int]’ ./include/Eigen/src/Householder/Householder.h:79:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:416:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ./include/LBFGSpp/BKLDLT.h:333:83: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_1x1(Index) [with Scalar = double; Index = long int]’ ./include/LBFGSpp/BKLDLT.h:416:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/LBFGSpp/BKLDLT.h:362:33: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ ./include/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/LBFGSpp/BKLDLT.h:362:39: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ ./include/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/LBFGSpp/BKLDLT.h:368:92: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ ./include/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/LBFGSpp/BKLDLT.h:368:103: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ ./include/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/LBFGSpp/BFGSMat.h:162:40: required from ‘void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]’ ./include/LBFGS.h:200:28: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1358:39: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >’ ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1358:39: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1375:39: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1375:39: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:5563:85: required from ‘void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1045:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::SparseMatrix, 0> >’ ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >’ ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1444:140: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:455:125: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:335:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/likelihoods.h:2540:76: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5798:105: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/likelihoods.h:2541:68: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5798:105: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:3192:76: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; Func = assign_op]’ ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:981:37: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1070:101: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1071:100: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1106:92: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1561:90: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = mul_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::ArrayWrapper >; SrcXprType = Eigen::ArrayWrapper, -1, -1, false> >; Functor = Eigen::internal::mul_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::ArrayWrapper >; Src = Eigen::ArrayWrapper, -1, -1, false> >; Func = mul_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/ArrayBase.h:207:18: required from ‘Derived& Eigen::ArrayBase::operator*=(const Eigen::ArrayBase&) [with OtherDerived = Eigen::ArrayWrapper, -1, -1, false> >; Derived = Eigen::ArrayWrapper >]’ ./include/GPBoost/Vecchia_utils.h:406:39: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/Dot.h:98:40: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Dot.h:231:18: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/cov_fcts.h:422:82: required from ‘void GPBoost::CovFunction::GetCovMat(const T_mat&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::vec_t&, T_mat&, bool) const [with T_mat = Eigen::Matrix; typename std::enable_if, T_mat1>::value>::type* = 0; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_comp.h:1145:36: required from ‘void GPBoost::RECompGP::CalcSigma() [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5350:44: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:217:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ ./include/Eigen/src/Cholesky/LLT.h:371:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ ./include/Eigen/src/Cholesky/LLT.h:371:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:231:93: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ ./include/Eigen/src/Cholesky/LLT.h:371:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ ./include/Eigen/src/Cholesky/LLT.h:371:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ ./include/Eigen/src/Cholesky/LLT.h:371:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2536:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2536 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2537 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2537:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2540 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2540:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2541 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2541:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ ./include/Eigen/src/SparseCholesky/SimplicialCholesky.h:191:26: required from ‘void Eigen::SimplicialCholeskyBase::_solve_impl(const Eigen::MatrixBase&, Eigen::MatrixBase&) const [with Rhs = Eigen::Matrix; Dest = Eigen::Matrix; Derived = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/Eigen/src/Core/Solve.h:147:26: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; DecType = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; RhsType = Eigen::Matrix; Scalar = double; SrcXprType = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6693:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/likelihoods.h:4205:71: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/likelihoods.h:4229:104: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:511:85: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ ./include/Eigen/src/Core/CoreEvaluators.h:884:41: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Ref, 0, Eigen::InnerStride<1> >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ ./include/LBFGSpp/BFGSMat.h:83:32: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1368:95: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1421:110: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Product >, Eigen::Matrix, 0>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1422:70: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1506:55: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product >, Eigen::Matrix, 1>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product >, Eigen::Matrix, 1>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1508:98: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseUnaryOp, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseUnaryOp, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1509:95: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:5621:42: required from ‘void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCoef(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:962:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:6938:201: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:5563:85: required from ‘void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1045:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:5587:78: required from ‘void GPBoost::REModelTemplate::CalcDirDerivArmijoAndLearningRateConstChangeCovAuxPars(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1045:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:1495:98: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:455:74: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:335:36: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:289:26: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ ./include/Eigen/src/Cholesky/LLT.h:371:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Side = 2; int Mode = 2]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = const Eigen::Transpose, -1, -1, false> >; unsigned int _Mode = 2]’ ./include/Eigen/src/Cholesky/LLT.h:371:96: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]’ ./include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Block, -1, -1, false>; OtherType = Eigen::Block, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]’ ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:372:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:372:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:372:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Transpose > >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product >, Eigen::Matrix, 0> >’ ./include/Eigen/src/SparseCore/SparseAssign.h:200:35: required from ‘static typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value>::type Eigen::internal::assignment_from_dense_op_sparse::run(DstXprType&, const Eigen::CwiseBinaryOp, const Lhs, const Rhs>&, const Eigen::internal::assign_op&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 2>; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double; DstXprType = Eigen::Matrix; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if::Shape, Eigen::DenseShape>::value>::type = void; typename Eigen::internal::evaluator_traits::Shape = Eigen::DenseShape; typename DstXprType::Scalar = double]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >]’ ./include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::SparseMatrix, 2>, const Eigen::Product >, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:3509:27: required from ‘void GPBoost::REModelTemplate::NewtonUpdateLeafValues(const int*, int, double*, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1156:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:567:77: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Block, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/GP_utils.h:394:36: required from ‘void GPBoost::SubtractProdFromMat(T_mat&, const den_mat_t&, const den_mat_t&, bool) [with T_mat = Eigen::SparseMatrix; typename std::enable_if<(std::is_same, T_mat1>::value || std::is_same, T_mat1>::value)>::type* = 0; den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1433:37: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 1>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/CG_utils.h:532:41: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6685:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6694:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Transpose > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Transpose > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Transpose > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:16: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false> >, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false> >, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:416:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; ExpressionType = Eigen::Block, -1, 1, true>; StorageBase = Eigen::MatrixBase]’ ./include/LBFGSpp/BKLDLT.h:362:28: required from ‘int LBFGSpp::BKLDLT::gaussian_elimination_2x2(Index) [with Scalar = double; Index = long int]’ ./include/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/LBFGSpp/BKLDLT.h:420:26: required from ‘void LBFGSpp::BKLDLT::compute(ConstGenericMatrix&, int, const Scalar&) [with Scalar = double; ConstGenericMatrix = const Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/LBFGSpp/BFGSMat.h:142:34: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Block, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/LBFGSpp/BFGSMat.h:162:40: required from ‘void LBFGSpp::BFGSMat::apply_Hv(const Vector&, const Scalar&, Vector&) [with Scalar = double; bool LBFGSB = false; Vector = Eigen::Matrix]’ ./include/LBFGS.h:200:28: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1358:39: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1375:39: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 1>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Transpose >; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, 1, false>; Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:340:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:351:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:340:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]’ ./include/Eigen/src/Cholesky/LLT.h:372:64: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6685:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:2968:13: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl >, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl >, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7764:14: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Transpose >]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Householder/Householder.h:93:15: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/Householder/Householder.h:46:18: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Scalar&, RealScalar&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:540:52: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1514:31: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1514:31: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1514:31: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1514:31: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:6938:201: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7129:19: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7129:19: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7129:19: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7129:19: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:351:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:351:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6685:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6694:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6697:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:4031:11: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2950:22: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >’ ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::SparseMatrix; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Matrix; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Matrix]’ ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:3133:17: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true> >, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true> >, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true> >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1> >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1> >, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 1> >, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>’ ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> > >’ ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >’ ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1514:31: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7129:19: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7129:19: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::SparseMatrix, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::SparseMatrix, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SparseMatrix, 0>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix > >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/sparse_matrix_utils.h:118:9: required from ‘void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]’ ./include/GPBoost/sparse_matrix_utils.h:324:52: required from ‘void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]’ ./include/GPBoost/re_model_template.h:6837:66: required from ‘void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:2021:4: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/sparse_matrix_utils.h:118:9: required from ‘void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]’ ./include/GPBoost/sparse_matrix_utils.h:324:52: required from ‘void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]’ ./include/GPBoost/re_model_template.h:6837:66: required from ‘void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:2021:4: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/CG_utils.h:532:41: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’ ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:2968:13: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2969:33: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2265:20: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:777:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 2, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 2, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:8106:15: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 2, -1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 2, -1, true> >’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:789:80: required from ‘PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:437:75: required from ‘static void Eigen::internal::dense_assignment_loop::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel >, Eigen::internal::evaluator, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >, Eigen::internal::assign_op, 0>]’ ./include/Eigen/src/Core/AssignEvaluator.h:785:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:8106:15: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7764:14: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7764:14: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >’ ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:51: required from ‘static void Eigen::internal::sparse_time_dense_product_impl::run(const SparseLhsType&, const DenseRhsType&, DenseResType&, const typename Eigen::internal::remove_all::type::Scalar&) [with SparseLhsType = Eigen::Transpose > >; DenseRhsType = Eigen::Transpose >; DenseResType = Eigen::Transpose >; typename Eigen::internal::remove_all::type::Scalar = double; Res = Eigen::Transpose >]’ ./include/Eigen/src/SparseCore/SparseDenseProduct.h:171:90: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7764:14: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::DiagonalWrapper >, 1>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::DiagonalWrapper >, 1>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>’ ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block >, -1, 1, false>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; Rhs = Eigen::Transpose >; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20: required from ‘static void Eigen::internal::generic_product_impl::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:163:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1514:31: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/re_model_template.h:6938:201: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>’ ./include/Eigen/src/Core/GeneralProduct.h:379:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >’ ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:504:43: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:504:43: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:504:43: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:519:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:519:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:351:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:351:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6685:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6694:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:4031:11: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:4223:11: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Transpose > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2682:12: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/re_model_template.h:8165:41: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3173:23: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3343:22: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Transpose >, 0>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Transpose >, 0>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3346:22: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true> >, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, true> >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, true> >, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ ./include/Eigen/src/Cholesky/LLT.h:503:62: required from ‘void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1418:21: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1> >, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1514:31: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1514:31: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:1595:16: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:662:6: required from ‘void GPBoost::CGFSA_MULTI_RHS(const T_mat&, const den_mat_t&, const chol_den_mat_t&, const den_mat_t&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; chol_den_mat_t = Eigen::LLT, 1>; data_size_t = int; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7083:32: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:662:6: required from ‘void GPBoost::CGFSA_MULTI_RHS(const T_mat&, const den_mat_t&, const chol_den_mat_t&, const den_mat_t&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; chol_den_mat_t = Eigen::LLT, 1>; data_size_t = int; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7083:32: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:662:6: required from ‘void GPBoost::CGFSA_MULTI_RHS(const T_mat&, const den_mat_t&, const chol_den_mat_t&, const den_mat_t&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; chol_den_mat_t = Eigen::LLT, 1>; data_size_t = int; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7083:32: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:662:6: required from ‘void GPBoost::CGFSA_MULTI_RHS(const T_mat&, const den_mat_t&, const chol_den_mat_t&, const den_mat_t&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; chol_den_mat_t = Eigen::LLT, 1>; data_size_t = int; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7083:32: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7129:19: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7129:19: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/re_model_template.h:1463:39: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:504:43: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/CG_utils.h:532:41: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]’ ./include/Eigen/src/Core/Assign.h:57:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’ ./include/Eigen/src/Core/PlainObjectBase.h:1022:46: required from ‘static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]’ ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ ./include/GPBoost/CG_utils.h:571:34: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:101:24: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/DenseCoeffsBase.h:120:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index, Eigen::Index) const [with Derived = Eigen::Product, Eigen::Matrix, 0>; CoeffReturnType = double; Eigen::Index = long int]’ ./include/GPBoost/Vecchia_utils.h:470:68: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:2115:10: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6522:60: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4016:20: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Product >, Eigen::Matrix, 1>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4016:20: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::internal::member_sum, 0>; typename Eigen::internal::traits::Scalar = double]’ ./include/GPBoost/likelihoods.h:4136:141: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivCovPar(const GPBoost::data_size_t&, const int&, const int&, const GPBoost::sp_mat_rm_t&, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_rm_t = Eigen::SparseMatrix; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2697:7: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Transpose > >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:774:66: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, member_sum, 0> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Transpose > >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2950:22: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:2968:13: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2969:33: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2970:33: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2265:20: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:777:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Transpose > >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7990:15: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8183:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8204:19: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:8221:17: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/re_model_template.h:8091:37: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, const Eigen::Block >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:132:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl >, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl >, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/SparseCore/SparseDenseProduct.h:216:60: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductType = 8; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_comp.h:1289:22: required from ‘std::shared_ptr<_Tp> GPBoost::RECompGP::GetZSigmaZtGrad(int, bool, double) const [with T_mat = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1414:104: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1>, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1>, -1, 1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1>, -1, 1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Transpose >, 1>, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Transpose >, 1>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Product >, Eigen::Transpose >, 1>]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Product >, Eigen::Transpose >, 1>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7073:35: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7073:35: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7073:35: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:662:6: required from ‘void GPBoost::CGFSA_MULTI_RHS(const T_mat&, const den_mat_t&, const chol_den_mat_t&, const den_mat_t&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; chol_den_mat_t = Eigen::LLT, 1>; data_size_t = int; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7083:32: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:662:6: required from ‘void GPBoost::CGFSA_MULTI_RHS(const T_mat&, const den_mat_t&, const chol_den_mat_t&, const den_mat_t&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; chol_den_mat_t = Eigen::LLT, 1>; data_size_t = int; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7083:32: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Product, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Product >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/ProductEvaluators.h:469:55: required from ‘static void Eigen::internal::generic_product_impl::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix; LhsT = Eigen::Transpose >; RhsT = Eigen::Matrix; Func = Eigen::internal::assign_op; Scalar = double; Lhs = Eigen::CwiseUnaryOp, const Eigen::Transpose > >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:446:22: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/Vecchia_utils.h:480:18: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >, -1, 1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix > >, -1, 1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix > >, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/Vecchia_utils.h:480:18: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose, 1>, Eigen::Matrix > >]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/Vecchia_utils.h:480:18: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/Vecchia_utils.h:480:18: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >’ ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:351:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:351:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Cholesky/LLT.h:339:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:370:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Cholesky/LLT.h:415:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ ./include/Eigen/src/Cholesky/LLT.h:463:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/GPBoost/re_model_template.h:5354:45: required from ‘void GPBoost::REModelTemplate::CalcSigmaComps() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:708:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6685:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6694:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:4031:11: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3508:15: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const GPBoost::den_mat_t&, bool, const GPBoost::sp_mat_t&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:8260:53: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2682:12: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/re_model_template.h:8165:41: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:891:25: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7757:27: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3173:23: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3343:22: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3343:22: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3346:22: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Transpose >, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3346:22: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Matrix >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Matrix >, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Matrix >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/bfgs.hpp:191:13: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, -1, false>, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, -1, false>, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::Block, -1, -1, false>; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, Eigen::internal::member_sum, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/unconstrained/nm.hpp:211:162: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, true>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/Householder/Householder.h:129:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:550:35: required from ‘void Eigen::ColPivHouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/QR/ColPivHouseholderQR.h:158:7: required from ‘Eigen::ColPivHouseholderQR::ColPivHouseholderQR(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:689:44: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, true> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1453:23: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Transpose >, 1>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Transpose >, 1>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Transpose >, 1>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Transpose >, 1>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Transpose >, 1>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:1595:16: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:1595:16: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7073:35: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7073:35: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7129:19: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:504:43: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:504:43: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:504:43: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:519:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:519:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/Vecchia_utils.h:480:18: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/Vecchia_utils.h:480:18: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:2115:10: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6522:60: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:368:43: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4018:13: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4018:13: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4018:13: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4018:13: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:4223:11: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2969:33: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Transpose >, 0>, Eigen::SparseMatrix, 0>, Eigen::SparseMatrix, 0>, Eigen::DiagonalWrapper >, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:2456:11: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxGroupedRE(const double*, const int*, const double*, GPBoost::data_size_t, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, std::vector, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5781:77: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Product, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2265:20: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxStable(const double*, const int*, const double*, std::shared_ptr<_Tp>, const std::vector > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5814:74: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:777:36: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7990:15: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Transpose >, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Transpose >, 1> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Product >, Eigen::Transpose >, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = false; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:662:6: required from ‘void GPBoost::CGFSA_MULTI_RHS(const T_mat&, const den_mat_t&, const chol_den_mat_t&, const den_mat_t&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; chol_den_mat_t = Eigen::LLT, 1>; data_size_t = int; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7083:32: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:662:6: required from ‘void GPBoost::CGFSA_MULTI_RHS(const T_mat&, const den_mat_t&, const chol_den_mat_t&, const den_mat_t&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; chol_den_mat_t = Eigen::LLT, 1>; data_size_t = int; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7083:32: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::SparseMatrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::SparseMatrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:4529:20: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix > >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix > >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, const Eigen::Matrix > >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4535:19: required from ‘void GPBoost::REModelTemplate::CalcXTPsiInvX(const GPBoost::den_mat_t&, GPBoost::den_mat_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7336:5: required from ‘void GPBoost::REModelTemplate::CalcStdDevCoef(const GPBoost::vec_t&, const GPBoost::den_mat_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1288:7: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = swap_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, 1, false>; Derived = Eigen::Block, 1, 1, false>]’ ./include/Eigen/src/Core/ProductEvaluators.h:1033:18: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/sparse_matrix_utils.h:118:9: required from ‘void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]’ ./include/GPBoost/sparse_matrix_utils.h:324:52: required from ‘void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]’ ./include/GPBoost/re_model_template.h:6837:66: required from ‘void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:2021:4: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/DenseCoeffsBase.h:391:7: required from ‘Eigen::DenseCoeffsBase::Scalar& Eigen::DenseCoeffsBase::coeffRef(Eigen::Index) [with Derived = Eigen::Transpose, 1, -1, true> >; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/GeneralProduct.h:379:20: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, true>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6578:23: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Solve, 1>, Eigen::Matrix >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Matrix >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:6686:15: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4016:20: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4016:20: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> > >’ ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4016:20: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >’ ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4016:20: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4018:13: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4018:13: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix >, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseNullaryOp, Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:4031:11: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Block >, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/re_model_template.h:8165:41: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, true>]’ ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:7764:14: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:3229:12: required from ‘void GPBoost::Likelihood::PredictLaplaceApproxOnlyOneGroupedRECalculationsOnREScale(const double*, const int*, const double*, GPBoost::data_size_t, double, const GPBoost::data_size_t*, const T_mat&, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7835:87: required from ‘void GPBoost::REModelTemplate::CalcPred(GPBoost::data_size_t, int, std::map&, std::map >&, const std::vector > >&, const double*, const GPBoost::den_mat_t&, const double*, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2900:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3173:23: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3343:22: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::Transpose >, 0>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Transpose >, 0>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::Transpose >, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3346:22: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Transpose >, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/unconstrained/bfgs.hpp:210:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, true> >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, true> >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, -1, -1, true> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, -1, -1, true> >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/LBFGSpp/BFGSMat.h:109:20: required from ‘void LBFGSpp::BFGSMat::add_correction(const RefConstVec&, const RefConstVec&) [with Scalar = double; bool LBFGSB = false; RefConstVec = Eigen::Ref, 0, Eigen::InnerStride<1> >]’ ./include/LBFGS.h:197:38: required from ‘int LBFGSpp::LBFGSSolver::minimize(Foo&, Vector&, Scalar&) [with Foo = GPBoost::EvalLLforLBFGSpp, Eigen::SimplicialLLT, 1, Eigen::AMDOrdering > >; Scalar = double; LineSearch = LBFGSpp::LineSearchBacktracking; Vector = Eigen::Matrix]’ ./include/GPBoost/optim_utils.h:628:29: required from ‘void GPBoost::OptimExternal(REModelTemplate*, vec_t&, vec_t&, const double*, int, double, string_t, int&, bool, string_t, bool, bool, double&, int, int, const double*, bool, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string]’ ./include/GPBoost/re_model_template.h:922:33: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Transpose >, 1> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Transpose >, 1> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Transpose >, 1> >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Transpose >, 1> >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Transpose >, 1> >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true>’ ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >’ ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Transpose >, 1> >; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Transpose, 1, -1, false> >; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:207:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, Eigen::DiagonalWrapper >, 1>, -1, 1, true> >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/GeneralProduct.h:366:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1514:31: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:1595:16: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7073:35: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7073:35: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, 1, false>; SrcXprType = Eigen::Block, 1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, 1, false>; Src = Eigen::Block, 1, 1, false>]’ ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 2>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/sparse_matrix_utils.h:118:9: required from ‘void GPBoost::ApplyPermutationCholeskyFactor(const T_chol&, const T_mat&, T_mat&, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; typename std::enable_if<(std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value || std::is_same, 1, Eigen::AMDOrdering >, T_chol>::value)>::type* = 0]’ ./include/GPBoost/sparse_matrix_utils.h:324:52: required from ‘void GPBoost::TriangularSolveGivenCholesky(const T_chol&, const T_mat_R&, T_mat_X&, bool) [with T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; T_chol_mat = Eigen::SparseMatrix; T_mat_R = Eigen::Matrix; T_mat_X = Eigen::Matrix; typename std::enable_if<((! std::is_same, 1>, T_chol>::value) || (! std::is_same, T_mat_R>::value))>::type* = 0]’ ./include/GPBoost/re_model_template.h:6837:66: required from ‘void GPBoost::REModelTemplate::CalcYTPsiIInvY(double&, bool, GPBoost::data_size_t, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:2021:4: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2067:19: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:504:43: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/Vecchia_utils.h:480:18: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/Vecchia_utils.h:480:18: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:1919:41: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, bool, const GPBoost::den_mat_t&, bool, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6508:63: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:2115:10: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6522:60: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:359:6: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:331:27: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1> >, Eigen::internal::member_sum, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:4223:11: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2969:33: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Func = sub_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2970:33: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, const std::vector > > >&, const std::vector > > >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5762:72: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7990:15: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; Func = add_assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product >, Eigen::Block, -1, 1, true>, 0>; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/re_model_template.h:8091:37: required from ‘void GPBoost::REModelTemplate::CalcPredPPFSA(GPBoost::data_size_t, const GPBoost::den_mat_t&, bool, bool, bool, GPBoost::vec_t&, T_mat&, GPBoost::vec_t&, int, double) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2896:8: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Product >, Eigen::Matrix, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:662:6: required from ‘void GPBoost::CGFSA_MULTI_RHS(const T_mat&, const den_mat_t&, const chol_den_mat_t&, const den_mat_t&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; chol_den_mat_t = Eigen::LLT, 1>; data_size_t = int; string_t = std::__cxx11::basic_string; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:7083:32: required from ‘void GPBoost::REModelTemplate::CalcFisherInformation(const GPBoost::vec_t&, GPBoost::den_mat_t&, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1039:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, const Eigen::Transpose, -1, 1, true> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4018:13: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4018:13: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:3343:22: required from ‘void GPBoost::REModelTemplate::PredictTrainingDataRandomEffects(const double*, const double*, const double*, double*, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:1120:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Transpose >, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1466:22: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:1595:16: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:504:43: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:504:43: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:519:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/CG_utils.h:519:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix > >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Matrix > >, const Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/Vecchia_utils.h:480:18: required from ‘void GPBoost::CalcCovFactorVecchia(data_size_t, bool, const std::vector > >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector >&, const std::vector > >&, sp_mat_t&, sp_mat_t&, std::vector >&, std::vector >&, bool, double, bool, int, int, bool) [with T_mat = Eigen::SparseMatrix; data_size_t = int; sp_mat_t = Eigen::SparseMatrix]’ ./include/GPBoost/re_model_template.h:6625:33: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper, const Eigen::Matrix > >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:6590:22: required from ‘void GPBoost::REModelTemplate::CalcCovFactorsPPFSA() [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ ./include/GPBoost/re_model_template.h:6635:6: required from ‘void GPBoost::REModelTemplate::CalcCovFactor(bool, bool, double, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:701:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/likelihoods.h:2115:10: required from ‘void GPBoost::Likelihood::FindModePostRandEffCalcMLLFITC(const double*, const int*, const double*, std::shared_ptr >, const GPBoost::chol_den_mat_t&, std::shared_ptr >, const GPBoost::vec_t&, double&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::chol_den_mat_t = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:6522:60: required from ‘double GPBoost::REModelTemplate::CalcModePostRandEffCalcMLL(const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:711:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:368:43: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4212:15: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivAuxPar(const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::vec_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, const GPBoost::den_mat_t&, double&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2741:8: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, 1, -1, true> >; Derived = Eigen::Block >, 1, -1, false>]’ ./include/Eigen/src/SparseCore/SparseDenseProduct.h:163:29: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2682:12: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::data_size_t = int]’ re_model.cpp:1048:26: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Transpose > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, const Eigen::Transpose > >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:4481:13: required from ‘void GPBoost::REModelTemplate::CalcPsiInv(GPBoost::den_mat_t&, GPBoost::data_size_t, bool) [with T_aux = Eigen::Matrix; typename std::enable_if, T3>::value>::type* = 0; T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::den_mat_t = Eigen::Matrix; GPBoost::data_size_t = int]’ ./include/GPBoost/re_model_template.h:1571:19: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:526:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:370:6: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4016:20: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4016:20: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block >, Eigen::Matrix, 1> >, 1, -1, true>, const Eigen::Transpose >, 1, -1, true> > > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >, Eigen::Matrix, 1> >; Rhs = Eigen::Transpose >, 1, -1, true> >; Dest = Eigen::Transpose, 1, -1, true> >; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:207:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, 1, -1, true>; Rhs = Eigen::Product >, Eigen::Matrix, 1>; Dest = Eigen::Block, 1, -1, true>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Product >, Eigen::Matrix, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4016:20: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/likelihoods.h:4018:13: required from ‘void GPBoost::Likelihood::CalcLogDetStochDerivMode(const GPBoost::vec_t&, const GPBoost::data_size_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::vec_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&, GPBoost::den_mat_t&) const [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix; GPBoost::data_size_t = int; GPBoost::den_mat_t = Eigen::Matrix]’ ./include/GPBoost/likelihoods.h:2660:5: required from ‘void GPBoost::Likelihood::CalcGradNegMargLikelihoodLaplaceApproxVecchia(const double*, const int*, const double*, const GPBoost::sp_mat_t&, const GPBoost::sp_mat_t&, const std::vector >&, const std::vector >&, bool, bool, bool, double*, GPBoost::vec_t&, double*, bool, int, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::sp_mat_t = Eigen::SparseMatrix; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:5744:75: required from ‘void GPBoost::REModelTemplate::CalcGradFLaplace(double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:721:35: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:260:25: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:32:12: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Side = 1; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]’ ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]’ ./include/Eigen/src/Cholesky/LLT.h:504:62: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Solve, 1>, Eigen::Transpose > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:2592:19: required from ‘void GPBoost::REModelTemplate::Predict(const double*, const double*, GPBoost::data_size_t, double*, bool, bool, bool, bool, const double*, const double*, const GPBoost::data_size_t*, const char*, const double*, double*, const double*, bool, const double*, const double*) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::data_size_t = int]’ re_model.cpp:1008:25: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Transpose > >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1442:32: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:379:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:526:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, Eigen::Matrix, 0>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:359:6: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Transpose >, 1> >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Transpose >, 1> >, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, 1, -1, false> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Transpose >, 1> >, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Transpose > >, const Eigen::Product, Eigen::Product >, Eigen::Transpose >, 1>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/GPBoost/re_model_template.h:1454:48: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/util/BlasUtil.h:590:13: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:526:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:526:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:370:6: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:526:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:370:6: required from ‘void GPBoost::CGFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const vec_t&, vec_t&, bool&, int, double, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; vec_t = Eigen::Matrix; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>]’ ./include/GPBoost/re_model_template.h:6717:20: required from ‘void GPBoost::REModelTemplate::CalcYAux(double) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:717:27: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:526:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Inverse.h:68:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ ./include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ ./include/Eigen/src/LU/InverseImpl.h:28:43: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix; ResultType = Eigen::Matrix; int Size = -1]’ ./include/Eigen/src/LU/InverseImpl.h:311:60: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ ./include/GPBoost/re_model_template.h:1581:78: required from ‘void GPBoost::REModelTemplate::CalcGradPars(const GPBoost::vec_t&, double, bool, bool, GPBoost::vec_t&, GPBoost::vec_t&, bool, bool, const double*, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:960:8: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::Matrix; T_chol = Eigen::LLT, 1>]’ re_model.cpp:396:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/CG_utils.h:526:6: required from ‘void GPBoost::CGTridiagFSA(const T_mat&, const den_mat_t&, const den_mat_t&, const den_mat_t&, std::vector >&, std::vector >&, den_mat_t&, bool&, data_size_t, int, int, double, string_t, const chol_den_mat_t&, const vec_t&) [with T_mat = Eigen::SparseMatrix; den_mat_t = Eigen::Matrix; data_size_t = int; string_t = std::__cxx11::basic_string; chol_den_mat_t = Eigen::LLT, 1>; vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:2083:27: required from ‘void GPBoost::REModelTemplate::EvalNegLogLikelihood(const double*, const double*, const double*, double&, bool, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:646:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/LU/PartialPivLU.h:528:46: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/PartialPivLU.h:133:14: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/PartialPivLU.h:315:10: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<-1, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<-1, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<-1, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<-1, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false> >’: ./include/Eigen/src/Core/Ref.h:44:50: required from ‘struct Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match, 0, Eigen::OuterStride<> >, -1, -1, false> >’ ./include/Eigen/src/Core/Ref.h:300:101: required by substitution of ‘template Eigen::Ref, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits, 0, Eigen::OuterStride<> > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>]’ ./include/Eigen/src/LU/PartialPivLU.h:463:17: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int]’ ./include/Eigen/src/LU/PartialPivLU.h:514:17: required from ‘void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]’ ./include/Eigen/src/LU/PartialPivLU.h:538:31: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ ./include/Eigen/src/LU/PartialPivLU.h:133:14: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ ./include/Eigen/src/LU/PartialPivLU.h:495:30: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ ./include/Eigen/src/LU/PartialPivLU.h:582:39: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Matrix; MatrixType = Eigen::Matrix; SrcXprType = Eigen::Inverse > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU::Scalar = double]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/LU/PartialPivLU.h:377:43: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long int; MatrixTypeRef = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/Eigen/src/LU/PartialPivLU.h:439:26: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/LU/PartialPivLU.h:400:114: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/Visitor.h:123:17: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:564:41: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]’ ./include/Eigen/src/Core/Visitor.h:302:14: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/DenseBase.h:424:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>]’ ./include/Eigen/src/LU/PartialPivLU.h:483:24: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >’: ./include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ ./include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op]’ ./include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ ./include/Eigen/src/LU/PartialPivLU.h:400:77: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ ./include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::OuterStride<> >, Eigen::Ref, 0, Eigen::OuterStride<> >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 34 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ ./include/Eigen/src/LU/PartialPivLU.h:234:28: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 40 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Ref, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Ref, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:170:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]’ ./include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/ProductEvaluators.h:1050:11: [ skipping 43 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ ./include/Eigen/src/Core/Assign.h:66:28: [ skipping 44 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::MatrixWrapper, const Eigen::ArrayWrapper >, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/re_model_template.h:7314:12: required from ‘void GPBoost::REModelTemplate::CalcStdDevCovPar(const GPBoost::vec_t&, GPBoost::vec_t&) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >; GPBoost::vec_t = Eigen::Matrix]’ ./include/GPBoost/re_model_template.h:1274:6: required from ‘void GPBoost::REModelTemplate::OptimLinRegrCoefCovPar(const double*, const double*, int, double*, double*, int&, double*, double*, double*, double*, bool, const double*, bool, bool, bool) [with T_mat = Eigen::SparseMatrix; T_chol = Eigen::SimplicialLLT, 1, Eigen::AMDOrdering >]’ re_model.cpp:362:40: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c sparse_matrix_utils.cpp -o sparse_matrix_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/sparse_matrix_utils.h:12, from sparse_matrix_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseMap.h:50:7: required from ‘class Eigen::SparseMapBase >, 0>’ ./include/Eigen/src/SparseCore/SparseMap.h:148:7: required from ‘class Eigen::SparseMapBase >, 1>’ ./include/Eigen/src/SparseCore/SparseMap.h:222:7: required from ‘class Eigen::Map >’ sparse_matrix_utils.cpp:241:100: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ sparse_matrix_utils.cpp:286:35: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ sparse_matrix_utils.cpp:299:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > > >’ ./include/Eigen/src/SparseCore/SparseMap.h:282:8: required from ‘struct Eigen::internal::evaluator > >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1181:93: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::Map >; _Scalar = double; int _Options = 0; _StorageIndex = int]’ sparse_matrix_utils.cpp:241:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:306:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/sparse_matrix_utils.h:198:27: required from ‘void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value))>::type* = 0]’ sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 0; _StorageIndex = int]’ sparse_matrix_utils.cpp:286:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:687:97: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]’ sparse_matrix_utils.cpp:289:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ ./include/Eigen/src/SparseCore/SparseBlock.h:558:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/sparse_matrix_utils.h:198:11: required from ‘void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value))>::type* = 0]’ sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseAssign.h:145:37: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::SparseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>]’ ./include/Eigen/src/Core/Assign.h:75:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:636:22: required from ‘Derived& Eigen::PlainObjectBase::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:613:13: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/GPBoost/sparse_matrix_utils.h:198:11: required from ‘void GPBoost::TriangularSolve(const T_mat_L&, const T_mat_R&, T_mat_X&, bool) [with T_mat_L = Eigen::SparseMatrix; T_mat_R = Eigen::SparseMatrix; T_mat_X = Eigen::SparseMatrix; typename std::enable_if<((std::is_same, T_mat1>::value && (! std::is_same, T_mat_R>::value)) && (! std::is_same, T_mat_R>::value))>::type* = 0]’ sparse_matrix_utils.cpp:279:48: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c GP_utils.cpp -o GP_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/GP_utils.h:12, from GP_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ GP_utils.cpp:56:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ GP_utils.cpp:73:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ GP_utils.cpp:76:33: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ GP_utils.cpp:93:73: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ GP_utils.cpp:123:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ GP_utils.cpp:123:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ GP_utils.cpp:158:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >’ GP_utils.cpp:158:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ GP_utils.cpp:171:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ GP_utils.cpp:171:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ GP_utils.cpp:231:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ GP_utils.cpp:231:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ GP_utils.cpp:231:77: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >’ GP_utils.cpp:235:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ GP_utils.cpp:281:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ GP_utils.cpp:295:84: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ GP_utils.cpp:27:61: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]’ GP_utils.cpp:73:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ ./include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Scalar = double]’ GP_utils.cpp:73:27: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:700:10: required from ‘Derived& Eigen::DenseBase::setOnes() [with Derived = Eigen::Matrix]’ GP_utils.cpp:68:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ GP_utils.cpp:89:20: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, 1, -1, false>]’ GP_utils.cpp:123:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ GP_utils.cpp:317:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:231:18: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ GP_utils.cpp:93:85: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:231:18: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ GP_utils.cpp:158:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/AssignEvaluator.h:873:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, 1, -1, false>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ GP_utils.cpp:228:18: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:231:18: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ GP_utils.cpp:235:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:231:18: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ GP_utils.cpp:281:83: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:231:18: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 2; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ GP_utils.cpp:295:96: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, false>; SrcXprType = Eigen::Block, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, false>; Src = Eigen::Block, 1, -1, false>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/CwiseBinaryOp.h:183:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, 1, -1, false>; Derived = Eigen::Block, 1, -1, false>]’ GP_utils.cpp:108:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_min_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_min_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:433:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/DenseBase.h:463:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ GP_utils.cpp:239:38: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ GP_utils.cpp:76:21: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, AllRange<-1> >, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ GP_utils.cpp:231:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ GP_utils.cpp:171:39: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, std::vector, Eigen::internal::AllRange<-1> >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, AllRange<-1> >, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, std::vector, Eigen::internal::AllRange<-1> >, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ GP_utils.cpp:231:78: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:177:17: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ GP_utils.cpp:171:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c DF_utils.cpp -o DF_utils.o g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c Vecchia_utils.cpp -o Vecchia_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/Vecchia_utils.h:12, from Vecchia_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/Vecchia_utils.h:237:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:350:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:406:110: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:406:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/GPBoost/Vecchia_utils.h:454:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ ./include/GPBoost/Vecchia_utils.h:454:55: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:466:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:470:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/GPBoost/Vecchia_utils.h:473:60: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/Vecchia_utils.h:473:60: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/util/ForwardDeclarations.h:32:48: required from ‘struct Eigen::internal::accessors_level, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:473:78: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose > > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose > >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose > > >’ ./include/GPBoost/Vecchia_utils.h:473:89: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Matrix > >’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 1>, Eigen::Matrix > >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 1>, Eigen::Matrix > >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 1>, Eigen::Matrix > >, 0>’ ./include/GPBoost/Vecchia_utils.h:481:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:695:109: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, -1, false> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, -1, false> >’ ./include/GPBoost/Vecchia_utils.h:695:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::SparseMatrix > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::SparseMatrix, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::SparseMatrix >’ ./include/GPBoost/Vecchia_utils.h:730:23: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1, -1, false> >’: ./include/Eigen/src/SparseCore/SparseBlock.h:333:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/Vecchia_utils.h:757:40: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>’ ./include/GPBoost/Vecchia_utils.h:977:63: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 0>, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:977:108: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:980:75: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:980:76: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, Eigen::AMDOrdering >, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, Eigen::AMDOrdering >, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1, Eigen::AMDOrdering >, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1, Eigen::AMDOrdering >, Eigen::Matrix >’ ./include/GPBoost/Vecchia_utils.h:981:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/Vecchia_utils.h:993:47: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1158:88: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > > >’: ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose >, Eigen::Sparse>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose > >’ ./include/GPBoost/Vecchia_utils.h:1166:67: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, const Eigen::Transpose > >, Eigen::SparseMatrix, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, const Eigen::Transpose > >, Eigen::SparseMatrix, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Transpose > >, Eigen::SparseMatrix, 2>’ ./include/GPBoost/Vecchia_utils.h:1166:85: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl >, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1169:76: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, Eigen::Transpose >, 2> >’: ./include/Eigen/src/Core/Product.h:145:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 2>’ ./include/GPBoost/Vecchia_utils.h:1173:89: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ ./include/GPBoost/Vecchia_utils.h:1185:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>’ ./include/GPBoost/Vecchia_utils.h:1193:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Product >, Eigen::Product >, Eigen::Matrix, 0>, 0>, 1>, 0>’ ./include/GPBoost/Vecchia_utils.h:1193:100: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ Vecchia_utils.cpp:280:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ Vecchia_utils.cpp:96:45: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] g++-13 -std=gnu++17 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fopenmp -pthread -fpic -g -O2 -Wall -pedantic -mtune=native -c CG_utils.cpp -o CG_utils.o In file included from ./include/Eigen/Core:198, from ./include/Eigen/SparseCore:11, from ./include/Eigen/Sparse:26, from ./include/GPBoost/type_defs.h:20, from ./include/GPBoost/CG_utils.h:12, from CG_utils.cpp:9: ./include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:223:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 223 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:229:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 229 | template<> struct unpacket_traits { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1125:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1125 | ptranspose(PacketBlock& kernel) { | ^ ./include/Eigen/src/Core/arch/SSE/PacketMath.h:1130:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1130 | ptranspose(PacketBlock& kernel) { | ^ In file included from ./include/Eigen/Core:167: ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:234:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 234 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ ./include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:158: ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from ./include/Eigen/Core:264: ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:96:47: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ ./include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ ./include/Eigen/src/Geometry/arch/Geometry_SIMD.h:100:3: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/SparseCore:37: ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ ./include/GPBoost/type_defs.h:36:31: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/utils.h:190:71: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ ./include/GPBoost/sparse_matrix_utils.h:199:53: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/sparse_matrix_utils.h:412:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:65:49: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/GP_utils.h:65:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ ./include/GPBoost/GP_utils.h:169:46: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/GP_utils.h:323:28: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ ./include/GPBoost/cov_fcts.h:147:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, -1, -1, true>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, true>’ ./include/GPBoost/cov_fcts.h:149:59: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::Block, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:422:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 1>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ ./include/GPBoost/cov_fcts.h:1141:112: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false>, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ ./include/GPBoost/cov_fcts.h:1141:114: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::internal::AllRange<-1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::internal::AllRange<-1> > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::internal::AllRange<-1>, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::internal::AllRange<-1> >’ ./include/GPBoost/cov_fcts.h:1922:123: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, std::vector, Eigen::ArithmeticSequence > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, std::vector, Eigen::ArithmeticSequence > > >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, std::vector, Eigen::ArithmeticSequence >, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, std::vector, Eigen::ArithmeticSequence > >’ ./include/GPBoost/cov_fcts.h:1941:154: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/re_comp.h:704:30: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>, 1>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange> >’ ./include/Eigen/src/Core/IndexedView.h:153:7: required from ‘class Eigen::IndexedViewImpl, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange, Eigen::Dense>’ ./include/Eigen/src/Core/IndexedView.h:109:7: required from ‘class Eigen::IndexedView, Eigen::VectorBlock, -1>, Eigen::internal::SingleRange>’ ./include/GPBoost/CG_utils.h:266:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:349:21: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:359:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:370:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:370:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:370:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/GPBoost/CG_utils.h:386:24: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: ./include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:387:25: required from here ./include/Eigen/src/Core/util/XprHelper.h:198:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 198 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:198:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/util/XprHelper.h:216:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 216 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:389:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:493:69: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Matrix, 0>, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Matrix, 0>, 0>’ ./include/GPBoost/CG_utils.h:493:70: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:506:181: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/GPBoost/CG_utils.h:506:182: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>’ ./include/GPBoost/CG_utils.h:506:183: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ ./include/GPBoost/CG_utils.h:526:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/GPBoost/CG_utils.h:526:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0>’ ./include/GPBoost/CG_utils.h:526:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:526:99: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >’ ./include/GPBoost/CG_utils.h:526:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::DiagonalWrapper >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::DiagonalWrapper >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::DiagonalWrapper >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::DiagonalWrapper >, 1>’ ./include/GPBoost/CG_utils.h:528:26: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/VectorwiseOp.h:43:39: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/util/ForwardDeclarations.h:23:29: required from ‘struct Eigen::internal::traits, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:23:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ ./include/GPBoost/CG_utils.h:532:36: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/GPBoost/CG_utils.h:635:58: recursively required by substitution of ‘template const Eigen::Solve, 1>, Rhs> Eigen::SolverBase, 1> >::solve(const Eigen::MatrixBase&) const [with Rhs = ]’ ./include/GPBoost/CG_utils.h:635:58: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >’ ./include/GPBoost/CG_utils.h:635:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Product >, Eigen::Matrix, 0> >, 0>’ ./include/GPBoost/CG_utils.h:635:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ CG_utils.cpp:35:28: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ CG_utils.cpp:56:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Matrix, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Matrix, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Matrix, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Matrix, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>’ CG_utils.cpp:56:40: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ CG_utils.cpp:56:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ CG_utils.cpp:56:66: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Matrix, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ CG_utils.cpp:56:67: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase > >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase > >’ ./include/Eigen/src/SparseCore/SparseTranspose.h:22:9: required from ‘class Eigen::internal::SparseTransposeImpl, 1024>’ ./include/Eigen/src/SparseCore/SparseTranspose.h:45:37: required from ‘class Eigen::TransposeImpl, Eigen::Sparse>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ CG_utils.cpp:61:29: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 6> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 6, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 6>’ CG_utils.cpp:61:74: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ CG_utils.cpp:61:82: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, 1> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl, 1, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView, 1>’ CG_utils.cpp:62:64: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Matrix >’ CG_utils.cpp:62:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >, 2> >’: ./include/Eigen/src/SparseCore/SparseTriangularView.h:25:56: required from ‘class Eigen::TriangularViewImpl >, 2, Eigen::Sparse>’ ./include/Eigen/src/Core/TriangularMatrix.h:187:58: required from ‘class Eigen::TriangularView >, 2>’ CG_utils.cpp:66:84: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ CG_utils.cpp:66:92: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ CG_utils.cpp:116:16: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ CG_utils.cpp:151:35: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ CG_utils.cpp:166:116: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Solve, 1>, Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ CG_utils.cpp:166:117: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ CG_utils.cpp:171:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ CG_utils.cpp:172:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Block, -1, 1, true> >’ CG_utils.cpp:258:95: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Block, -1, 1, true> >’ CG_utils.cpp:262:80: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Block, -1, 1, true> >’ CG_utils.cpp:270:105: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Block, -1, 1, true>, 0>’ CG_utils.cpp:287:47: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>’ CG_utils.cpp:287:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >’ CG_utils.cpp:287:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Product, Eigen::Block, -1, 1, true>, 0>, 0>, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Block, -1, 1, true> > >’ CG_utils.cpp:287:81: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >’ CG_utils.cpp:291:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::DiagonalWrapper >, 1> >’ CG_utils.cpp:338:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ CG_utils.cpp:396:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >’ CG_utils.cpp:402:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1> >’ ./include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, -1, -1>’ CG_utils.cpp:417:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Replicate, -1, -1>, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Replicate, -1, -1>, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Replicate, -1, -1>, const Eigen::Matrix >’ CG_utils.cpp:417:48: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ ./include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:107:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ CG_utils.cpp:539:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ ./include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ ./include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:107:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ CG_utils.cpp:539:44: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ CG_utils.cpp:546:56: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 1, -1, false> > > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 1, -1, false> > >’ CG_utils.cpp:546:64: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ CG_utils.cpp:546:91: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ CG_utils.cpp:546:97: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ CG_utils.cpp:546:98: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >’ CG_utils.cpp:546:145: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ CG_utils.cpp:558:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ CG_utils.cpp:558:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1> >’ ./include/Eigen/src/Core/Replicate.h:61:65: required from ‘class Eigen::Replicate, 1, -1>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, 1, -1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >’ CG_utils.cpp:570:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Replicate, 1, -1> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Replicate, 1, -1>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Replicate, 1, -1> >’ CG_utils.cpp:570:72: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ ./include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ CG_utils.cpp:572:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ CG_utils.cpp:572:101: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ ./include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ CG_utils.cpp:574:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ CG_utils.cpp:574:39: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseBlock.h:96:7: required from ‘class Eigen::internal::sparse_matrix_block_impl, -1, 1>’ ./include/Eigen/src/SparseCore/SparseBlock.h:287:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Sparse>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ CG_utils.cpp:607:22: required from here ./include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/CoreEvaluators.h:167:44: required from ‘struct Eigen::internal::evaluator > >’ ./include/Eigen/src/Core/CoreEvaluators.h:273:8: required from ‘struct Eigen::internal::evaluator >’ ./include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’ ./include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ CG_utils.cpp:79:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ ./include/Eigen/src/SparseCore/SparseCwiseUnaryOp.h:128:64: required from ‘Derived& Eigen::SparseMatrixBase::operator*=(const Scalar&) [with Derived = Eigen::SparseMatrix; Scalar = double]’ CG_utils.cpp:591:8: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator, -1, 1, true> > >’ ./include/Eigen/src/SparseCore/SparseBlock.h:549:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, Eigen::internal::IteratorBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:1080:8: required from ‘struct Eigen::internal::block_evaluator, -1, 1, true, false>’ ./include/Eigen/src/Core/CoreEvaluators.h:1027:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ CG_utils.cpp:607:30: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:270: ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/SparseCore/SparseDot.h:53:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::SparseMatrixBase::dot(const Eigen::SparseMatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ CG_utils.cpp:607:30: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ CG_utils.cpp:44:13: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ ./include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ CG_utils.cpp:86:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ CG_utils.cpp:245:12: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ ./include/Eigen/src/Core/PlainObjectBase.h:1022:16: required from ‘static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]’ ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ CG_utils.cpp:350:34: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ ./include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:543:19: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ CG_utils.cpp:545:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:869:57: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ CG_utils.cpp:545:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ CG_utils.cpp:43:25: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ ./include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ CG_utils.cpp:79:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ ./include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ CG_utils.cpp:79:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ ./include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Matrix; bool Big = false]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/CwiseNullaryOp.h:892:21: required from ‘Derived& Eigen::MatrixBase::setIdentity(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:467:24: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ CG_utils.cpp:545:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>’ ./include/Eigen/src/Jacobi/Jacobi.h:313:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:870:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ CG_utils.cpp:545:29: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: ./include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ ./include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ ./include/Eigen/src/Core/Visitor.h:255:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:543:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ CG_utils.cpp:545:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ CG_utils.cpp:547:31: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ CG_utils.cpp:560:87: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: ./include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ ./include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:870:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:528:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ ./include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:469:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::computeFromTridiagonal(const RealVectorType&, const SubDiagonalType&, int) [with _MatrixType = Eigen::Matrix; RealVectorType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ CG_utils.cpp:545:29: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:558:68: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80: required from ‘struct Eigen::internal::evaluator > >’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1505:8: required from ‘struct Eigen::internal::evaluator >’ ./include/Eigen/src/SparseCore/SparseAssign.h:79:45: required from ‘void Eigen::internal::assign_sparse_to_sparse(DstXprType&, const SrcXprType&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix]’ ./include/Eigen/src/SparseCore/SparseAssign.h:132:28: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::SparseMatrix; SrcXprType = Eigen::SparseMatrix; Functor = Eigen::internal::assign_op; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]’ ./include/Eigen/src/SparseCore/SparseAssign.h:38:16: required from ‘Derived& Eigen::SparseMatrixBase::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; Derived = Eigen::SparseMatrix]’ ./include/Eigen/src/SparseCore/SparseMatrix.h:1239:27: required from ‘Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]’ ./include/Eigen/src/SparseCore/SparseMatrix.h:689:15: required from ‘Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase&) [with OtherDerived = Eigen::SparseMatrix; _Scalar = double; int _Options = 1; _StorageIndex = int]’ CG_utils.cpp:640:23: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ ./include/GPBoost/cov_fcts.h:147:51: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: ./include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ ./include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, true>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, -1, true>]’ ./include/GPBoost/cov_fcts.h:149:79: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:110:23: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::norm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ CG_utils.cpp:86:19: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from ‘Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ CG_utils.cpp:297:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:1377:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, 1, -1, false> > > >’ ./include/Eigen/src/Core/CoreEvaluators.h:1457:8: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false> > >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 1, -1, false> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper, 1, -1, false> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:546:145: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ CG_utils.cpp:79:22: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from ‘Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ CG_utils.cpp:297:41: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:203:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:572:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 2, -1, true> >’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:217:20: required from ‘PacketType Eigen::internal::evaluator >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::Index = long int]’ ./include/Eigen/src/Core/CoreEvaluators.h:789:80: required from ‘PacketType Eigen::internal::binary_evaluator, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op; Lhs = const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; Rhs = const Eigen::CwiseNullaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Lhs = Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp::Rhs = Eigen::CwiseNullaryOp, const Eigen::Matrix >; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:681:114: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:437:75: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:572:102: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:72: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:572:102: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:172:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/CoreEvaluators.h:583:40: required from ‘Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::CoeffReturnType Eigen::internal::unary_evaluator, Eigen::internal::IndexBased>::coeff(Eigen::Index, Eigen::Index) const [with UnaryOp = Eigen::internal::scalar_sqrt_op; ArgType = const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>; typename Eigen::CwiseUnaryOp::Scalar = double; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/Redux.h:381:23: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/Redux.h:202:33: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:478:32: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::mean() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >; typename Eigen::internal::traits::Scalar = double]’ CG_utils.cpp:297:41: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, -1, -1, false>]’ ./include/Eigen/src/Core/Assign.h:57:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Block.h:341:5: required from ‘Eigen::internal::BlockImpl_dense& Eigen::internal::BlockImpl_dense::operator=(const Eigen::internal::BlockImpl_dense&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’ ./include/Eigen/src/Core/Block.h:161:5: required from ‘Eigen::BlockImpl& Eigen::BlockImpl::operator=(const Eigen::BlockImpl&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’ ./include/Eigen/src/Core/Block.h:111:5: required from ‘Eigen::Block& Eigen::Block::operator=(const Eigen::Block&) [with XprType = Eigen::Matrix; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]’ ./include/Eigen/src/Core/PlainObjectBase.h:1022:46: required from ‘static void Eigen::internal::conservative_resize_like_impl::run(Eigen::DenseBase&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; OtherDerived = Eigen::Matrix; bool IsVector = false; Eigen::Index = long int]’ ./include/Eigen/src/Core/PlainObjectBase.h:392:60: required from ‘void Eigen::PlainObjectBase::conservativeResize(Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix; Eigen::Index = long int]’ CG_utils.cpp:350:34: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] In file included from ./include/Eigen/Core:323: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/Parallelizer.h:126:68: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:172:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from ./include/Eigen/Core:326: ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:172:43: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:172:43: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: ./include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ ./include/Eigen/src/Core/GeneralProduct.h:347:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:172:43: required from here ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:172:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>’ ./include/Eigen/src/Core/Product.h:114:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>’ ./include/Eigen/src/Core/Product.h:113:15: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false> >’ ./include/Eigen/src/Core/util/XprHelper.h:380:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, Eigen::DenseShape, Eigen::DenseShape, 7>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:172:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1110:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1115:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:82:107: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:455:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 455 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:456:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 456 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:457:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 457 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:414:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 414 | prefix ## name ## Packet | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 463 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:463:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 464 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:464:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 490 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:490:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 491 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:491:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 492 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:492:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 495 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:495:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’: ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false> >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/VectorwiseOp.h:114:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, -1, false>; ResultType = double; Scalar = double]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:183:21: required from ‘const Eigen::internal::evaluator >::Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Scalar = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/PartialReduxEvaluator.h:214:47: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ ./include/Eigen/src/Core/PlainObjectBase.h:805:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/PlainObjectBase.h:602:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:572:102: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:104:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2288:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2288 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2290:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2290 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2291 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2291:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2330 | PacketBlock kernel_half; | ^~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2330:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2336 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2336:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:133:13: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Transpose >, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ ./include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1950:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1950 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1951 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1951:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2007:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2007 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2008:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2008 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2009:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2009 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2010:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2010 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 1>, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 1>, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>’ ./include/Eigen/src/Core/GeneralProduct.h:366:52: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/GeneralProduct.h:366:43: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Matrix; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >’ ./include/Eigen/src/Core/GeneralProduct.h:207:43: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; Rhs = Eigen::Matrix; Dest = Eigen::Block, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:172:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:115:15: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ ./include/Eigen/src/Core/products/Parallelizer.h:141:16: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor, Eigen::Matrix, Eigen::Matrix, Eigen::Matrix, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; Scalar = double]’ ./include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >]’ ./include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2132:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2132 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2134:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2134 | HalfPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2135 | QuarterPacketSize = unpacket_traits::size, | ^~~~ ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2135:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:172:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:402:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, 7>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Solve, 1>, Eigen::Matrix >, 0>’ ./include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:402:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Matrix >, -1, 1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ ./include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, false>’ ./include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true, Eigen::Dense>’ ./include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>’ ./include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:291:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::Matrix, 1>; Rhs = Eigen::Solve, 1>, Eigen::Matrix >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::Matrix, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Solve, 1>, Eigen::Matrix >; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Solve, 1>, Eigen::Matrix >, 1>, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Solve, 1>, Eigen::Matrix >, 1> >’ ./include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Solve, 1>, Eigen::Matrix >, 1, 8>’ ./include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Solve, 1>, Eigen::Matrix >, 1, Eigen::Dense>’ ./include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 1>’ ./include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:402:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:402:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ ./include/Eigen/src/Core/GeneralProduct.h:379:80: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:291:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >’ ./include/Eigen/src/Core/GeneralProduct.h:379:59: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:291:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 1>, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = add_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, Eigen::Matrix, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:291:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:291:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ ./include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:397:43: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:402:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/Dot.h:50:23: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:402:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:402:119: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:291:108: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Matrix >, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> > >’ ./include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, 1>, Eigen::Matrix >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:402:119: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>, const Eigen::Transpose > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/GeneralProduct.h:379:88: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >; Rhs = Eigen::Matrix; Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:291:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ ./include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >, Eigen::Matrix, 0> > > >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:291:108: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: ./include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ ./include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ ./include/Eigen/src/Cholesky/LLT.h:503:62: required from ‘void Eigen::LLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Matrix; DstType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ ./include/Eigen/src/Cholesky/LLT.h:494:31: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ ./include/Eigen/src/Core/AssignEvaluator.h:840:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Matrix, 1>, Eigen::Solve, 1>, Eigen::Matrix >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ CG_utils.cpp:399:119: required from here ./include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2491:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2491 | PacketBlock kernel; | ^~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/MapBase.h:221:34: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:97:18: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:125:66: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 1; bool Conjugate = false]’ ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ ./include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ ./include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ ./include/Eigen/src/Core/Matrix.h:178:7: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ ./include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ ./include/Eigen/src/Core/Block.h:154:7: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ./include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ ./include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:57: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: ./include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ ./include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: ./include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ ./include/Eigen/src/Core/CwiseBinaryOp.h:154:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ ./include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:72: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ ./include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 31 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:37: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] ./include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: ./include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Scalar = double]’ ./include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ ./include/Eigen/src/Core/products/TriangularSolverVector.h:78:127: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ ./include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ ./include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ ./include/Eigen/src/Core/CoreEvaluators.h:1036:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1064 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ ./include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: ./include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ ./include/Eigen/src/Core/CoreEvaluators.h:738:69: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ ./include/Eigen/src/Core/CoreEvaluators.h:721:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ ./include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:944:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ ./include/Eigen/src/Core/AssignEvaluator.h:880:49: [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] ./include/Eigen/src/Core/AssignEvaluator.h:880:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op]’ ./include/Eigen/src/Core/AssignEvaluator.h:848:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ ./include/Eigen/src/Core/AssignEvaluator.h:826:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >]’ ./include/Eigen/src/Core/PlainObjectBase.h:787:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; Derived = Eigen::Matrix]’ ./include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product >, Eigen::Product, Eigen::Solve, 1>, Eigen::Matrix >, 0>, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ CG_utils.cpp:174:118: required from here ./include/Eigen/src/Core/CoreEvaluators.h:1064:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] gcc-13 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cs_spsolve.c -o cs_spsolve.o gcc-13 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cs_reach.c -o cs_reach.o gcc-13 -I"/home/hornik/tmp/R.check/r-devel-gcc/Work/build/include" -DNDEBUG -I./include -DEIGEN_MPL2_ONLY -DMM_PREFETCH=1 -DMM_MALLOC=1 -DUSE_SOCKET -DLGB_R_BUILD -I/usr/local/include -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c cs_dfs.c -o cs_dfs.o g++-13 -std=gnu++17 -shared -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -Wl,-O1 -o gpboost.so boosting/boosting.o boosting/gbdt.o boosting/gbdt_model_text.o boosting/gbdt_prediction.o boosting/prediction_early_stop.o io/bin.o io/config.o io/config_auto.o io/dataset.o io/dataset_loader.o io/file_io.o io/json11.o io/metadata.o io/parser.o io/train_share_states.o io/tree.o metric/dcg_calculator.o metric/metric.o objective/objective_function.o network/ifaddrs_patch.o network/linker_topo.o network/linkers_mpi.o network/linkers_socket.o network/network.o treelearner/data_parallel_tree_learner.o treelearner/feature_parallel_tree_learner.o treelearner/gpu_tree_learner.o treelearner/linear_tree_learner.o treelearner/serial_tree_learner.o treelearner/tree_learner.o treelearner/voting_parallel_tree_learner.o c_api.o gpboost_R.o re_model.o sparse_matrix_utils.o GP_utils.o DF_utils.o Vecchia_utils.o CG_utils.o cs_spsolve.o cs_reach.o cs_dfs.o -fopenmp -pthread -L/home/hornik/tmp/R.check/r-devel-gcc/Work/build/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpZ0Tnsa/R.INSTALL1603e25b723eb/gpboost/src' make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpZ0Tnsa/R.INSTALL1603e25b723eb/gpboost/src' make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpZ0Tnsa/R.INSTALL1603e25b723eb/gpboost/src' installing to /home/hornik/tmp/R.check/r-devel-gcc/Work/build/Packages/00LOCK-gpboost/00new/gpboost/libs ** R ** data ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * creating tarball packaged installation of ‘gpboost’ as ‘gpboost_1.4.0.1_R_x86_64-pc-linux-gnu.tar.gz’ * DONE (gpboost)